diff --git a/.gitignore b/.gitignore index b640ed73b..0f668464a 100644 --- a/.gitignore +++ b/.gitignore @@ -50,4 +50,5 @@ python/src/tutorials/data/R/* python/src/tutorials/data/* *.pkl python/src/robyn/_deprecate/* -python/src/robyn/tutorials/output/* \ No newline at end of file +python/src/robyn/tutorials/output/* +python/src/robyn/debug/* \ No newline at end of file diff --git a/python/src/robyn/data/entities/mmmdata.py b/python/src/robyn/data/entities/mmmdata.py index 21c0b757e..7d325d820 100644 --- a/python/src/robyn/data/entities/mmmdata.py +++ b/python/src/robyn/data/entities/mmmdata.py @@ -196,59 +196,55 @@ def remove_column(self, column_name: str) -> None: self.data.drop(columns=[column_name], inplace=True) def calculate_rolling_window_indices(self) -> None: - # Ensure the date column is in datetime format + """Match R's window index calculation exactly""" + # Convert dates to pandas datetime self.data[self.mmmdata_spec.date_var] = pd.to_datetime( self.data[self.mmmdata_spec.date_var] ) - # Convert window_start and window_end to datetime if they are strings - window_start = ( - pd.to_datetime(self.mmmdata_spec.window_start) - if isinstance(self.mmmdata_spec.window_start, str) - else self.mmmdata_spec.window_start - ) - window_end = ( - pd.to_datetime(self.mmmdata_spec.window_end) - if isinstance(self.mmmdata_spec.window_end, str) - else self.mmmdata_spec.window_end - ) + dates_vec = self.data[self.mmmdata_spec.date_var] - # Calculate the index for the rolling window start + # Convert window dates to datetime + window_start = pd.to_datetime(self.mmmdata_spec.window_start) + window_end = pd.to_datetime(self.mmmdata_spec.window_end) + + # Calculate start index using days difference like R if window_start is not None: - closest_start_idx = ( - (self.data[self.mmmdata_spec.date_var] - window_start).abs().idxmin() - ) - closest_start_date = self.data[self.mmmdata_spec.date_var].iloc[ - closest_start_idx - ] + days_diff = (dates_vec - window_start).dt.total_seconds() / (24 * 3600) + closest_start_idx = days_diff.abs().argmin() + closest_start_date = dates_vec.iloc[closest_start_idx] + + print(f"Python window calculation (start):") + print(f"window_start: {window_start}") + print(f"closest_start_date: {closest_start_date}") + print(f"closest_start_idx: {closest_start_idx}") + print(f"days_diff first few values: {days_diff.head().values}") + self.mmmdata_spec.rolling_window_start_which = closest_start_idx - # Adjust window_start to the closest date in the data self.mmmdata_spec.window_start = closest_start_date - print( - f"Adjusted window_start to the closest date in the data: {closest_start_date}" - ) - # Calculate the index for the rolling window end + # Calculate end index using days difference like R if window_end is not None: - closest_end_idx = ( - (self.data[self.mmmdata_spec.date_var] - window_end).abs().idxmin() - ) - closest_end_date = self.data[self.mmmdata_spec.date_var].iloc[ - closest_end_idx - ] + days_diff = (dates_vec - window_end).dt.total_seconds() / (24 * 3600) + closest_end_idx = days_diff.abs().argmin() + closest_end_date = dates_vec.iloc[closest_end_idx] + + print(f"Python window calculation (end):") + print(f"window_end: {window_end}") + print(f"closest_end_date: {closest_end_date}") + print(f"closest_end_idx: {closest_end_idx}") + print(f"days_diff first few values: {days_diff.head().values}") + self.mmmdata_spec.rolling_window_end_which = closest_end_idx - # Adjust window_end to the closest date in the data self.mmmdata_spec.window_end = closest_end_date - print( - f"Adjusted window_end to the closest date in the data: {closest_end_date}" - ) - # Calculate rolling window length + # Calculate window length if window_start is not None and window_end is not None: self.mmmdata_spec.rolling_window_length = ( self.mmmdata_spec.rolling_window_end_which - self.mmmdata_spec.rolling_window_start_which + 1 ) + print(f"Window length: {self.mmmdata_spec.rolling_window_length}") def set_default_factor_vars(self) -> None: """ diff --git a/python/src/robyn/modeling/base_model_executor.py b/python/src/robyn/modeling/base_model_executor.py index 8ed3982b0..2b821d284 100644 --- a/python/src/robyn/modeling/base_model_executor.py +++ b/python/src/robyn/modeling/base_model_executor.py @@ -318,25 +318,3 @@ def _apply_transformations( "Error applying transformations for channel %s: %s", channel, str(e) ) raise - - def _prepare_model_data(self, hyperparameters: Dict[str, Any]) -> np.ndarray: - logger.info("Preparing model data") - transformed_data = {} - - for channel in self.mmmdata.paid_media_vars: - logger.debug("Processing channel: %s", channel) - transformed_data[channel] = self._apply_transformations( - channel, hyperparameters - ) - - logger.debug("Combining transformed data with context and organic variables") - model_data = np.column_stack( - [transformed_data[channel] for channel in self.mmmdata.paid_media_vars] - + [ - self.mmmdata.data[var] - for var in self.mmmdata.context_vars + self.mmmdata.organic_vars - ] - ) - - logger.info("Model data preparation complete. Shape: %s", model_data.shape) - return model_data diff --git a/python/src/robyn/modeling/ridge/ridge_data_builder.py b/python/src/robyn/modeling/ridge/ridge_data_builder.py index ec1907ca5..ece54ecfa 100644 --- a/python/src/robyn/modeling/ridge/ridge_data_builder.py +++ b/python/src/robyn/modeling/ridge/ridge_data_builder.py @@ -166,16 +166,19 @@ def _hyper_collector( return hyper_collect def _geometric_adstock(self, x: pd.Series, theta: float) -> pd.Series: + # print(f"Before adstock: {x.head()}") y = x.copy() for i in range(1, len(x)): y.iloc[i] += theta * y.iloc[i - 1] + # print(f"After adstock: {y.head()}") return y def _hill_transformation( self, x: pd.Series, alpha: float, gamma: float ) -> pd.Series: - + # Add debug self.logger.debugs + # print(f"Before hill: {x.head()}") x_scaled = (x - x.min()) / (x.max() - x.min()) result = x_scaled**alpha / (x_scaled**alpha + gamma**alpha) - + # print(f"After hill: {result.head()}") return result diff --git a/python/src/robyn/modeling/ridge/ridge_evaluate_model.py b/python/src/robyn/modeling/ridge/ridge_evaluate_model.py index a43bcd495..c8b38a34c 100644 --- a/python/src/robyn/modeling/ridge/ridge_evaluate_model.py +++ b/python/src/robyn/modeling/ridge/ridge_evaluate_model.py @@ -227,12 +227,10 @@ def _evaluate_model( debug = True if debug and (iter_ng == 0 or iter_ng % 25 == 0): - self.logger.debug( - f"\nEvaluation Debug (trial {trial}, iteration {iter_ng}):" - ) - self.logger.debug(f"X shape: {X.shape}") - self.logger.debug(f"y shape: {y.shape}") - self.logger.debug("Parameters:", params) + print(f"\nEvaluation Debug (trial {trial}, iteration {iter_ng}):") + print(f"X shape: {X.shape}") + print(f"y shape: {y.shape}") + print("Parameters:", params) # Split data using R's approach train_size = params.get("train_size", 1.0) if ts_validation else 1.0 @@ -272,7 +270,7 @@ def _evaluate_model( # Calculate metrics using R-style calculations y_train_pred = model.predict(x_norm) metrics["rsq_train"] = self.ridge_metrics_calculator.calculate_r2_score( - y_norm, y_train_pred, x_norm.shape[1], debug=debug, iteration=iter_ng + y_norm, y_train_pred, x_norm.shape[1] ) metrics["nrmse_train"] = self.ridge_metrics_calculator.calculate_nrmse( y_norm, y_train_pred, debug=debug, iteration=iter_ng diff --git a/python/src/robyn/modeling/ridge/ridge_metrics_calculator.py b/python/src/robyn/modeling/ridge/ridge_metrics_calculator.py index 4cd7bf852..9ca9d6308 100644 --- a/python/src/robyn/modeling/ridge/ridge_metrics_calculator.py +++ b/python/src/robyn/modeling/ridge/ridge_metrics_calculator.py @@ -147,11 +147,13 @@ def _calculate_decomp_spend_dist( "iterPar", "Elapsed", ] - # self.logger.debug(f"Decomp spend distribution debug:") - # self.logger.debug(f"Total media spend: {total_media_spend}") - # self.logger.debug(f"Total effect: {total_effect}") - # for col in paid_media_cols: - # self.logger.debug(f"{col} - effect: {all_effects[col]}, spend: {all_spends[col]}") + self.logger.debug(f"Decomp spend distribution debug:") + self.logger.debug(f"Total media spend: {total_media_spend}") + self.logger.debug(f"Total effect: {total_effect}") + for col in paid_media_cols: + self.logger.debug( + f"{col} - effect: {all_effects[col]}, spend: {all_spends[col]}" + ) return df[required_cols] def _calculate_lambda( @@ -163,44 +165,45 @@ def _calculate_lambda( iteration: int = 0, ) -> Tuple[float, float]: """Match R's glmnet lambda calculation exactly""" - - def mysd(y: np.ndarray) -> float: - """R's implementation of sd""" - return np.sqrt(np.sum((y - np.mean(y)) ** 2) / len(y)) - - # Scale X using R's approach - x_means = np.mean(x_norm, axis=0) - x_sds = np.apply_along_axis(mysd, 0, x_norm) - sx = (x_norm - x_means) / x_sds[:, np.newaxis].T - - # Handle NaN values like R does - check_nan = np.all(np.isnan(sx), axis=0) - sx = np.where(check_nan, 0, sx) - - # R does not scale y in this case - sy = y_norm - - # Calculate lambda_max using R's approach - # 0.001 is glmnet's default alpha value for ridge regression - lambda_max = np.max(np.abs(np.sum(sx * sy[:, np.newaxis], axis=0))) / ( - 0.001 * len(x_norm) - ) - - # Calculate lambda using lambda_hp - lambda_min = lambda_max * 0.0001 # R's default lambda_min_ratio + n_samples = len(y_norm) + + # Standardize first before scale factor calculation + def r_scale(x): + mean = np.mean(x) + sd = np.sqrt(np.sum((x - mean) ** 2) / (len(x) - 1)) + return (x - mean) / (sd if sd > 1e-10 else 1.0) + + # Scale X and y first + x_scaled = np.apply_along_axis(r_scale, 0, x_norm) + y_scaled = r_scale(y_norm) + + # Now calculate scale factor using scaled data + scale_factor = np.mean(np.abs(x_scaled)) * np.mean(np.abs(y_scaled)) + + if debug and (iteration == 0 or iteration % 25 == 0): + print(f"\nLambda Calculation Debug (iteration {iteration}):") + print(f"n_samples: {n_samples}") + print(f"x_scaled mean abs: {np.mean(np.abs(x_scaled)):.6f}") + print(f"y_scaled mean abs: {np.mean(np.abs(y_scaled)):.6f}") + print(f"Scale factor: {scale_factor:.6f}") + print(f"lambda_hp: {lambda_hp:.6f}") + + # R's lambda calculation + alpha = 0.001 + gram = x_scaled.T @ x_scaled / n_samples + ctx = np.abs(x_scaled.T @ y_scaled) / n_samples + + lambda_max = np.max(ctx) / alpha + lambda_min = lambda_max * 0.0001 lambda_ = lambda_min + lambda_hp * (lambda_max - lambda_min) - if debug and (iteration % 10 == 0): - self.logger.debug(f"\nLambda Debug (iter {iteration}):") - self.logger.debug(f"x_means: {np.mean(np.abs(x_means)):.6f}") - self.logger.debug(f"x_sds mean: {np.mean(x_sds):.6f}") - self.logger.debug(f"sx mean: {np.mean(np.abs(sx)):.6f}") - self.logger.debug(f"sy mean: {np.mean(np.abs(sy)):.6f}") - self.logger.debug(f"lambda_max: {lambda_max:.6f}") - self.logger.debug(f"lambda_: {lambda_:.6f}") - self.logger.debug(f"lambda_hp: {lambda_hp:.6f}") + if debug and (iteration == 0 or iteration % 25 == 0): + print(f"max ctx: {np.max(ctx):.6f}") + print(f"lambda_max: {lambda_max:.6f}") + print(f"lambda_min: {lambda_min:.6f}") + print(f"final lambda_: {lambda_:.6f}") - return float(lambda_), float(lambda_max) + return lambda_, lambda_max def _calculate_rssd( self, @@ -225,11 +228,11 @@ def _calculate_rssd( effects.append(effect) spends.append(raw_spend) - # if debug and (iteration % 50 == 0): - # self.logger.debug(f"{col}:") - # self.logger.debug(f" coefficient: {coef:.6f}") - # self.logger.debug(f" raw spend: {raw_spend:.6f}") - # self.logger.debug(f" effect: {effect:.6f}") + if debug and (iteration == 0 or iteration % 25 == 0): + print(f"{col}:") + print(f" coefficient: {coef:.6f}") + print(f" raw spend: {raw_spend:.6f}") + print(f" effect: {effect:.6f}") # Convert to numpy arrays effects = np.array(effects) @@ -244,12 +247,12 @@ def _calculate_rssd( effects_norm = effects / total_effect spends_norm = spends / total_spend - # if debug and (iteration % 50 == 0): - # self.logger.debug("\nNormalized values:") - # self.logger.debug("Effects:", effects_norm) - # self.logger.debug("Spends:", spends_norm) - # self.logger.debug("Effect total (check=1):", np.sum(effects_norm)) - # self.logger.debug("Spend total (check=1):", np.sum(spends_norm)) + if debug and (iteration == 0 or iteration % 25 == 0): + print("\nNormalized values:") + print("Effects:", effects_norm) + print("Spends:", spends_norm) + print("Effect total (check=1):", np.sum(effects_norm)) + print("Spend total (check=1):", np.sum(spends_norm)) # Calculate RSSD squared_diff = (effects_norm - spends_norm) ** 2 @@ -427,18 +430,12 @@ def _calculate_x_decomp_agg( return df def calculate_r2_score( - self, - y_true: np.ndarray, - y_pred: np.ndarray, - n_features: int, - df_int: int = 1, - debug: bool = True, - iteration: int = 0, + self, y_true: np.ndarray, y_pred: np.ndarray, n_features: int, df_int: int = 1 ) -> float: """Match R's R² calculation exactly""" n = len(y_true) - # Calculate R's version of R² + # Scale data like R y_mean = np.mean(y_true) ss_tot = np.sum((y_true - y_mean) ** 2) ss_res = np.sum((y_true - y_pred) ** 2) @@ -449,17 +446,10 @@ def calculate_r2_score( # R's adjustment formula adj_r2 = 1 - ((1 - r2) * (n - df_int) / (n - n_features - df_int)) + # Match R's scale if adj_r2 < 0: adj_r2 = -np.sqrt(np.abs(adj_r2)) # R-style negative scaling - # if debug and (iteration % 50 == 0): - # self.logger.debug(f"R² Calculation Debug:") - # self.logger.debug(f"n: {n}") - # self.logger.debug(f"ss_tot: {ss_tot:.6f}") - # self.logger.debug(f"ss_res: {ss_res:.6f}") - # self.logger.debug(f"R²: {r2:.6f}") - # self.logger.debug(f"Adjusted R²: {adj_r2:.6f}") - return float(adj_r2) def calculate_nrmse( @@ -469,7 +459,7 @@ def calculate_nrmse( debug: bool = True, iteration: int = 0, ) -> float: - """Calculate NRMSE with R-matching normalization""" + """Calculate NRMSE with detailed debugging""" n = len(y_true) y_true = np.asarray(y_true) y_pred = np.asarray(y_pred) @@ -478,18 +468,29 @@ def calculate_nrmse( residuals = y_true - y_pred rss = np.sum(residuals**2) - # Calculate range same as R - y_range = np.max(y_true) - np.min(y_true) + # Calculate range from true values + y_min = np.min(y_true) + y_max = np.max(y_true) + scale = y_max - y_min - # Calculate RMSE + # Calculate RMSE first rmse = np.sqrt(rss / n) - nrmse = rmse / y_range if y_range > 0 else rmse - - # if debug and (iteration % 50 == 0): - # self.logger.debug(f"\nNRMSE Calculation Debug (iteration {iteration}):") - # self.logger.debug(f"RSS: {rss:.6f}") - # self.logger.debug(f"RMSE: {rmse:.6f}") - # self.logger.debug(f"Range: {y_range:.6f}") - # self.logger.debug(f"NRMSE: {nrmse:.6f}") + + if debug and (iteration == 0 or iteration % 25 == 0): + print(f"\nNRMSE Calculation Debug (iteration {iteration}):") + print(f"n: {n}") + print(f"RSS: {rss:.6f}") + print(f"RMSE: {rmse:.6f}") + print(f"y_true range: [{y_min:.6f}, {y_max:.6f}]") + print(f"scale: {scale:.6f}") + print("First 5 pairs (true, pred, residual):") + for i in range(min(5, len(y_true))): + print(f" {y_true[i]:.6f}, {y_pred[i]:.6f}, {residuals[i]:.6f}") + + # Calculate final NRMSE + nrmse = rmse / scale if scale > 0 else rmse + + if debug and (iteration == 0 or iteration % 25 == 0): + print(f"Final NRMSE: {nrmse:.6f}") return float(nrmse) diff --git a/python/src/robyn/modeling/ridge_model_builder.py b/python/src/robyn/modeling/ridge_model_builder.py index e08207812..c51e31ea8 100644 --- a/python/src/robyn/modeling/ridge_model_builder.py +++ b/python/src/robyn/modeling/ridge_model_builder.py @@ -289,160 +289,3 @@ def _model_train( trials.append(trial_result) return trials - - def _evaluate_model( - self, - params: Dict[str, float], - ts_validation: bool, - add_penalty_factor: bool, - rssd_zero_penalty: bool, - objective_weights: Optional[List[float]], - start_time: float, - iter_ng: int, - trial: int, - ) -> Dict[str, Any]: - """Evaluate model with parameter set matching R's implementation exactly""" - X, y = self._prepare_data(params) - sol_id = f"{trial}_{iter_ng + 1}_1" - # After preparing data - self.logger.debug(f"Data shapes - X: {X.shape}, y: {y.shape}") - self.logger.debug(f"Sample of X values: {X.head()}") - self.logger.debug(f"Sample of y values: {y.head()}") - - # Split data using R's approach - train_size = params.get("train_size", 1.0) if ts_validation else 1.0 - train_idx = int(len(X) * train_size) - - metrics = {} - if ts_validation: - val_test_size = (len(X) - train_idx) // 2 - X_train = X.iloc[:train_idx] - y_train = y.iloc[:train_idx] - X_val = X.iloc[train_idx : train_idx + val_test_size] - y_val = y.iloc[train_idx : train_idx + val_test_size] - X_test = X.iloc[train_idx + val_test_size :] - y_test = y.iloc[train_idx + val_test_size :] - else: - X_train, y_train = X, y - X_val = X_test = y_val = y_test = None - - x_norm = X_train.to_numpy() - y_norm = y_train.to_numpy() - - # Calculate lambda using R-matching helper function - lambda_hp = params.get("lambda", 1.0) - lambda_, lambda_max = self.ridge_metrics_calculator._calculate_lambda( - x_norm, y_norm, lambda_hp - ) - # After calculating lambda - self.logger.debug(f"Lambda calculation debug:") - self.logger.debug(f"lambda_hp: {lambda_hp}") - self.logger.debug(f"lambda_: {lambda_}") - self.logger.debug(f"lambda_max: {lambda_max}") - - # Scale inputs for model - model = Ridge(alpha=lambda_ / len(x_norm), fit_intercept=True) - model.fit(x_norm, y_norm) - - # Calculate metrics using R-style calculations - y_train_pred = model.predict(x_norm) - metrics["rsq_train"] = self.ridge_metrics_calculator.calculate_r2_score( - y_norm, y_train_pred, x_norm.shape[1] - ) - metrics["nrmse_train"] = self.ridge_metrics_calculator.calculate_nrmse( - y_norm, y_train_pred - ) - - # Validation and test metrics - if ts_validation and X_val is not None and X_test is not None: - y_val_pred = model.predict(X_val) - y_test_pred = model.predict(X_test) - - metrics["rsq_val"] = self.ridge_metrics_calculator.calculate_r2_score( - y_val, y_val_pred, X_val.shape[1] - ) - metrics["nrmse_val"] = self.ridge_metrics_calculator.calculate_nrmse( - y_val, y_val_pred - ) - - metrics["rsq_test"] = self.ridge_metrics_calculator.calculate_r2_score( - y_test, y_test_pred, X_test.shape[1] - ) - metrics["nrmse_test"] = self.ridge_metrics_calculator.calculate_nrmse( - y_test, y_test_pred - ) - - metrics["nrmse"] = metrics["nrmse_val"] - else: - metrics["rsq_val"] = metrics["rsq_test"] = 0.0 - metrics["nrmse_val"] = metrics["nrmse_test"] = 0.0 - metrics["nrmse"] = metrics["nrmse_train"] - - # Calculate RSSD - paid_media_cols = [ - col - for col in X.columns - if col in self.mmm_data.mmmdata_spec.paid_media_spends - ] - decomp_rssd = self.ridge_metrics_calculator._calculate_rssd( - model, X_train, paid_media_cols, rssd_zero_penalty - ) - - elapsed_time = time.time() - start_time - - # Format hyperparameter names to match R's format - params_formatted = self._format_hyperparameter_names(params) - - # Update metrics dictionary - metrics.update( - { - "decomp_rssd": float(decomp_rssd), - "lambda": float(lambda_), - "lambda_hp": float(lambda_hp), - "lambda_max": float(lambda_max), - "lambda_min_ratio": float(0.0001), - "mape": int(0), # Cast to int as in R - "sol_id": str(sol_id), - "trial": int(trial), - "iterNG": int(iter_ng + 1), - "iterPar": int(1), - "Elapsed": float(elapsed_time), - "elapsed": float(elapsed_time), - "elapsed_accum": float(elapsed_time), - } - ) - - # Calculate decompositions - x_decomp_agg = self.ridge_metrics_calculator._calculate_x_decomp_agg( - model, X_train, y_train, {**params_formatted, **metrics} - ) - decomp_spend_dist = self.ridge_metrics_calculator._calculate_decomp_spend_dist( - model, X_train, y_train, {**metrics, "params": params_formatted} - ) - - # Calculate loss - loss = ( - objective_weights[0] * metrics["nrmse"] - + objective_weights[1] * metrics["decomp_rssd"] - + ( - objective_weights[2] * metrics["mape"] - if len(objective_weights) > 2 - else 0 - ) - ) - self.logger.debug( - f"Model coefficients range: {model.coef_.min()} to {model.coef_.max()}" - ) - self.logger.debug(f"Sample predictions: {y_train_pred[:5]}") - self.logger.debug(f"Sample actual values: {y_norm[:5]}") - return { - "loss": loss, - "params": params_formatted, - **metrics, - "decomp_spend_dist": decomp_spend_dist, - "x_decomp_agg": x_decomp_agg, - "elapsed": elapsed_time, - "elapsed_accum": elapsed_time, - "iter_ng": iter_ng + 1, - "iter_par": 1, - } diff --git a/python/src/robyn/tutorials/e2e_test/tutorial3_modeling_compare.ipynb b/python/src/robyn/tutorials/e2e_test/tutorial3_modeling_compare.ipynb index 2ff51433a..0d0643361 100644 --- a/python/src/robyn/tutorials/e2e_test/tutorial3_modeling_compare.ipynb +++ b/python/src/robyn/tutorials/e2e_test/tutorial3_modeling_compare.ipynb @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -48,9 +48,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-04 13:19:18,795 - robyn - INFO - Logging is set up to console only.\n", + "/Users/yijuilee/robynpy_release_reviews/robynvenv_py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import os\n", "import pandas as pd\n", @@ -78,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -103,9 +113,169 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python window calculation (start):\n", + "window_start: 2016-01-01 00:00:00\n", + "closest_start_date: 2016-01-04 00:00:00\n", + "closest_start_idx: 6\n", + "days_diff first few values: [-39. -32. -25. -18. -11.]\n", + "Python window calculation (end):\n", + "window_end: 2018-12-31 00:00:00\n", + "closest_end_date: 2018-12-31 00:00:00\n", + "closest_end_idx: 162\n", + "days_diff first few values: [-1134. -1127. -1120. -1113. -1106.]\n", + "Window length: 157\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DATErevenuetv_Sooh_Sprint_Sfacebook_Isearch_clicks_Psearch_Scompetitor_sales_Bfacebook_Seventsnewsletter
02015-11-232.754372e+0622358.3466670.012728.4888892.430128e+070.0000000.00000081250097607.132915na19401.653846
12015-11-302.584277e+0628613.4533330.00.0000005.527033e+069837.2384864133.33333379015491141.952450na14791.000000
22015-12-072.547387e+060.000000132278.4453.8666671.665159e+0712044.1196533786.66666783001974256.375378na14544.000000
32015-12-142.875220e+0683450.3066670.017680.0000001.054977e+0712268.0703194253.33333381228832800.490677na2800.000000
42015-12-212.215953e+060.000000277336.00.0000002.934090e+069467.2480233613.3333337105985689.582605na15478.000000
\n", + "
" + ], + "text/plain": [ + " DATE revenue tv_S ooh_S print_S \\\n", + "0 2015-11-23 2.754372e+06 22358.346667 0.0 12728.488889 \n", + "1 2015-11-30 2.584277e+06 28613.453333 0.0 0.000000 \n", + "2 2015-12-07 2.547387e+06 0.000000 132278.4 453.866667 \n", + "3 2015-12-14 2.875220e+06 83450.306667 0.0 17680.000000 \n", + "4 2015-12-21 2.215953e+06 0.000000 277336.0 0.000000 \n", + "\n", + " facebook_I search_clicks_P search_S competitor_sales_B \\\n", + "0 2.430128e+07 0.000000 0.000000 8125009 \n", + "1 5.527033e+06 9837.238486 4133.333333 7901549 \n", + "2 1.665159e+07 12044.119653 3786.666667 8300197 \n", + "3 1.054977e+07 12268.070319 4253.333333 8122883 \n", + "4 2.934090e+06 9467.248023 3613.333333 7105985 \n", + "\n", + " facebook_S events newsletter \n", + "0 7607.132915 na 19401.653846 \n", + "1 1141.952450 na 14791.000000 \n", + "2 4256.375378 na 14544.000000 \n", + "3 2800.490677 na 2800.000000 \n", + "4 689.582605 na 15478.000000 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def setup_mmm_data(dt_simulated_weekly) -> MMMData:\n", "\n", @@ -139,9 +309,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hyperparameters setup complete.\n" + ] + } + ], "source": [ "hyperparameters = Hyperparameters(\n", " hyperparameters={\n", @@ -186,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -203,18 +381,84 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-04 13:19:20,652 - robyn.modeling.feature_engineering - INFO - Starting feature engineering process\n", + "2024-12-04 13:19:20,653 - robyn.modeling.feature_engineering - INFO - Starting Prophet decomposition\n", + "2024-12-04 13:19:20,653 - robyn.modeling.feature_engineering - INFO - Starting Prophet decomposition\n", + "/Users/yijuilee/robynpy_release_reviews/Robyn/python/src/robyn/data/entities/mmmdata.py:255: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n", + " non_numeric_columns = ~selected_columns.applymap(\n", + "/Users/yijuilee/robynpy_release_reviews/robynvenv_py3.10/lib/python3.10/site-packages/prophet/forecaster.py:187: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " self.holidays['ds'] = pd.to_datetime(self.holidays['ds'])\n", + "2024-12-04 13:19:21,193 - cmdstanpy - DEBUG - input tempfile: /var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/tmpvcg9vgs5/_z9ixidv.json\n", + "2024-12-04 13:19:21,201 - cmdstanpy - DEBUG - input tempfile: /var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/tmpvcg9vgs5/gz0fphc3.json\n", + "2024-12-04 13:19:21,203 - cmdstanpy - DEBUG - idx 0\n", + "2024-12-04 13:19:21,203 - cmdstanpy - DEBUG - running CmdStan, num_threads: None\n", + "2024-12-04 13:19:21,203 - cmdstanpy - DEBUG - CmdStan args: ['/Users/yijuilee/robynpy_release_reviews/robynvenv_py3.10/lib/python3.10/site-packages/prophet/stan_model/prophet_model.bin', 'random', 'seed=90537', 'data', 'file=/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/tmpvcg9vgs5/_z9ixidv.json', 'init=/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/tmpvcg9vgs5/gz0fphc3.json', 'output', 'file=/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/tmpvcg9vgs5/prophet_modelwhr5nu6r/prophet_model-20241204131921.csv', 'method=optimize', 'algorithm=lbfgs', 'iter=10000']\n", + "13:19:21 - cmdstanpy - INFO - Chain [1] start processing\n", + "2024-12-04 13:19:21,203 - cmdstanpy - INFO - Chain [1] start processing\n", + "13:19:21 - cmdstanpy - INFO - Chain [1] done processing\n", + "2024-12-04 13:19:21,294 - cmdstanpy - INFO - Chain [1] done processing\n", + "2024-12-04 13:19:21,354 - robyn.modeling.feature_engineering - INFO - Prophet decomposition complete\n", + "2024-12-04 13:19:21,355 - robyn.modeling.feature_engineering - INFO - Starting model runs for paid media variables with different exposure metrics\n", + "2024-12-04 13:19:21,356 - robyn.modeling.feature_engineering - INFO - Fitting spend-exposure model for facebook_I\n", + "2024-12-04 13:19:21,369 - robyn.modeling.feature_engineering - INFO - Fitting spend-exposure model for search_clicks_P\n", + "2024-12-04 13:19:21,377 - robyn.modeling.feature_engineering - INFO - Completed model runs for 2 channels\n", + "2024-12-04 13:19:21,378 - robyn.modeling.feature_engineering - INFO - Feature engineering complete\n", + "/Users/yijuilee/robynpy_release_reviews/Robyn/python/src/robyn/modeling/feature_engineering.py:94: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", + " dt_mod = dt_mod.fillna(method=\"ffill\").fillna(method=\"bfill\")\n", + "2024-12-04 13:19:21,380 - robyn.modeling.feature_engineering - INFO - Filled 0 missing values\n" + ] + } + ], "source": [ "featurized_mmm_data = feature_engineering.perform_feature_engineering()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-04 13:19:21,393 - robyn.visualization.base_visualizer - INFO - Initializing BaseVisualizer with style: bmh\n", + "2024-12-04 13:19:21,393 - robyn.visualization.base_visualizer - INFO - BaseVisualizer initialization completed\n", + "2024-12-04 13:19:21,394 - robyn.visualization.feature_visualization - INFO - Initializing FeaturePlotter\n", + "2024-12-04 13:19:21,394 - robyn.visualization.feature_visualization - INFO - Generating spend-exposure plot for channel: facebook_I\n", + "2024-12-04 13:19:21,394 - robyn.visualization.feature_visualization - INFO - Found result for channel facebook_I\n", + "2024-12-04 13:19:21,508 - robyn.visualization.feature_visualization - INFO - Successfully generated spend-exposure plot for channel facebook_I\n", + "2024-12-04 13:19:21,508 - robyn.visualization.feature_visualization - INFO - Generating spend-exposure plot for channel: search_clicks_P\n", + "2024-12-04 13:19:21,508 - robyn.visualization.feature_visualization - INFO - Found result for channel search_clicks_P\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing channel: facebook_I\n", + "Processing channel: search_clicks_P\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-04 13:19:21,703 - robyn.visualization.feature_visualization - INFO - Successfully generated spend-exposure plot for channel search_clicks_P\n" + ] + } + ], "source": [ "from robyn.visualization.feature_visualization import FeaturePlotter\n", "import matplotlib.pyplot as plt\n", @@ -244,9 +488,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dict_keys(['facebook_I', 'search_clicks_P'])\n", + "facebook_I\n", + "search_clicks_P\n" + ] + } + ], "source": [ "print(featurized_mmm_data.modNLS[\"plots\"].keys())\n", "\n", @@ -256,9 +510,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " spend exposure yhat\n", + "6 3623.012233 1.371590e+07 1.404919e+07\n", + "7 4129.816153 1.885156e+07 1.595491e+07\n", + "8 3623.012233 1.191019e+07 1.404919e+07\n", + "9 3002.690585 1.062042e+07 1.169716e+07\n", + "10 0.000000 0.000000e+00 0.000000e+00\n", + ".. ... ... ...\n", + "158 0.000000 0.000000e+00 0.000000e+00\n", + "159 0.000000 0.000000e+00 0.000000e+00\n", + "160 0.000000 0.000000e+00 0.000000e+00\n", + "161 9068.007406 3.220052e+07 3.380801e+07\n", + "162 0.000000 0.000000e+00 0.000000e+00\n", + "\n", + "[157 rows x 3 columns]\n" + ] + } + ], "source": [ "plot_data = featurized_mmm_data.modNLS[\"plots\"].get(\"facebook_I\")\n", "print(plot_data)" @@ -266,9 +541,160 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== MMM Data Debug ===\n", + "\n", + "MMM Data Specification:\n", + "Dependent Variable: revenue\n", + "Paid Media Spends: ['tv_S', 'ooh_S', 'print_S', 'facebook_S', 'search_S']\n", + "Paid Media Vars: ['tv_S', 'ooh_S', 'print_S', 'facebook_I', 'search_clicks_P']\n", + "Organic Vars: ['newsletter']\n", + "\n", + "==================================================\n", + "\n", + "=== Hyperparameters Debug ===\n", + "\n", + "Hyperparameters structure:\n", + "\n", + "Channel: facebook_S\n", + "Thetas: [0, 0.3]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Channel: print_S\n", + "Thetas: [0.1, 0.4]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Channel: tv_S\n", + "Thetas: [0.3, 0.8]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Channel: search_S\n", + "Thetas: [0, 0.3]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Channel: ooh_S\n", + "Thetas: [0.1, 0.4]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Channel: newsletter\n", + "Thetas: [0.1, 0.4]\n", + "Alphas: [0.5, 3]\n", + "Gammas: [0.3, 1]\n", + "Shapes: None\n", + "Scales: None\n", + "\n", + "Lambda: [0, 1]\n", + "Train size: [0.5, 0.8]\n", + "\n", + "==================================================\n", + "\n", + "=== Featurized MMM Data Debug ===\n", + "\n", + "Featurized data shape: (208, 13)\n", + "\n", + "Featurized data columns: ['ds', 'dep_var', 'trend', 'season', 'holiday', 'competitor_sales_B', 'events', 'tv_S', 'ooh_S', 'print_S', 'facebook_S', 'search_S', 'newsletter']\n", + "\n", + "Featurized data statistics:\n", + " ds dep_var trend season \\\n", + "count 208 2.080000e+02 2.080000e+02 2.080000e+02 \n", + "mean 2017-11-16 12:00:00 1.822143e+06 1.772974e+06 -4.203860e+03 \n", + "min 2015-11-23 00:00:00 6.722500e+05 1.715494e+06 -1.050359e+06 \n", + "25% 2016-11-19 06:00:00 1.165211e+06 1.748984e+06 -6.738105e+05 \n", + "50% 2017-11-16 12:00:00 1.874514e+06 1.774054e+06 -5.964066e+04 \n", + "75% 2018-11-13 18:00:00 2.378407e+06 1.798442e+06 6.469059e+05 \n", + "max 2019-11-11 00:00:00 3.827520e+06 1.814898e+06 1.218389e+06 \n", + "std NaN 7.162286e+05 2.839704e+04 6.756266e+05 \n", + "\n", + " holiday competitor_sales_B events tv_S \\\n", + "count 2.080000e+02 2.080000e+02 2.080000e+02 208.000000 \n", + "mean 4.491105e+04 5.538025e+06 8.265669e+03 14843.691218 \n", + "min -3.372642e+05 2.240235e+06 0.000000e+00 0.000000 \n", + "25% 0.000000e+00 3.589581e+06 0.000000e+00 0.000000 \n", + "50% 0.000000e+00 5.538524e+06 0.000000e+00 0.000000 \n", + "75% 0.000000e+00 7.311814e+06 0.000000e+00 18406.706667 \n", + "max 1.054990e+06 9.984742e+06 1.272203e+06 158046.573333 \n", + "std 1.790185e+05 2.077192e+06 9.335788e+04 28558.366546 \n", + "\n", + " ooh_S print_S facebook_S search_S newsletter \n", + "count 208.000000 208.000000 208.000000 208.000000 208.000000 \n", + "mean 43217.941026 3728.632265 2145.657826 5915.512821 22386.523669 \n", + "min 0.000000 0.000000 0.000000 0.000000 301.000000 \n", + "25% 0.000000 0.000000 0.000000 2353.333333 9010.500000 \n", + "50% 0.000000 0.000000 0.000000 4806.666667 19401.653846 \n", + "75% 50858.133333 4767.833333 3623.012233 8536.666667 27546.500000 \n", + "max 500361.600000 31922.311111 15400.391408 17880.000000 96236.000000 \n", + "std 83991.426655 6483.070232 3160.363803 4702.502612 19104.164424 \n", + "\n", + "Data types:\n", + "ds datetime64[ns]\n", + "dep_var float64\n", + "trend float64\n", + "season float64\n", + "holiday float64\n", + "competitor_sales_B int64\n", + "events float64\n", + "tv_S float64\n", + "ooh_S float64\n", + "print_S float64\n", + "facebook_S float64\n", + "search_S float64\n", + "newsletter float64\n", + "dtype: object\n", + "\n", + "Missing values count:\n", + "ds 0\n", + "dep_var 0\n", + "trend 0\n", + "season 0\n", + "holiday 0\n", + "competitor_sales_B 0\n", + "events 0\n", + "tv_S 0\n", + "ooh_S 0\n", + "print_S 0\n", + "facebook_S 0\n", + "search_S 0\n", + "newsletter 0\n", + "dtype: int64\n", + "\n", + "Infinite values count:\n", + "dep_var 0\n", + "trend 0\n", + "season 0\n", + "holiday 0\n", + "competitor_sales_B 0\n", + "events 0\n", + "tv_S 0\n", + "ooh_S 0\n", + "print_S 0\n", + "facebook_S 0\n", + "search_S 0\n", + "newsletter 0\n", + "dtype: int64\n" + ] + } + ], "source": [ "import numpy as np\n", "\n", @@ -335,9 +761,148513 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6\n", + "162\n" + ] + } + ], + "source": [ + "print(mmm_data.mmmdata_spec.rolling_window_start_which)\n", + "print(mmm_data.mmmdata_spec.rolling_window_end_which)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-04 13:19:21,742 - robyn.modeling.base_model_executor - INFO - Initializing BaseModelExecutor\n", + "2024-12-04 13:19:21,743 - robyn.modeling.model_executor - INFO - Starting model execution with model_name=Models.RIDGE\n", + "2024-12-04 13:19:21,744 - robyn.modeling.base_model_executor - INFO - Input validation successful\n", + "2024-12-04 13:19:21,744 - robyn.common.common_util - WARNING - Requested cores (16) exceeds available cores (10). Will use 10 cores.\n", + "2024-12-04 13:19:21,744 - robyn.modeling.base_model_executor - INFO - Preparing hyperparameters\n", + "2024-12-04 13:19:21,745 - robyn.modeling.base_model_executor - INFO - Completed hyperparameter preparation with 20 parameters to optimize\n", + "2024-12-04 13:19:21,745 - robyn.modeling.model_executor - INFO - Initializing Ridge model builder\n", + "2024-12-04 13:19:21,745 - robyn.modeling.model_executor - INFO - Building models with configured parameters\n", + "2024-12-04 13:19:21,746 - robyn.modeling.ridge.ridge_data_builder - INFO - Collecting hyperparameters for optimization...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">>> Starting 5 trials with 2000 iterations each using TwoPointsDE nevergrad algorithm on x cores...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6921455493357966, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 666721973.1881782\n", + "lambda_max (after 0.1 factor): 66672197.318817824\n", + "lambda_min: 6667.2197318817825\n", + "lambda_hp: 0.556948336053984\n", + "log_lambda: 13.934641964872279\n", + "final lambda: 1126517.9408019623\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7700406527393895, train_idx: 120\n", + "val_test_size: 18\n", + "After train split - X_train: (120, 11), y_train: (120,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7583401978194102, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7518846920643882, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6490087776808229, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 0%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7776339768037275, train_idx: 122\n", + "val_test_size: 17\n", + "After train split - X_train: (122, 11), y_train: (122,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7745302366300146, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6717100525583961, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7536346734839618, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.73858467187137, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6501998775467843, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5328641718669298, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7119343144614936, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6722173984990039, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6746376311842156, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5598745227314039, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6546801220616463, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5630170597943422, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7872562020790592, train_idx: 123\n", + "val_test_size: 17\n", + "After train split - X_train: (123, 11), y_train: (123,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449475840570033, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7560562481322395, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7051402739011154, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7827520932339408, train_idx: 122\n", + "val_test_size: 17\n", + "After train split - X_train: (122, 11), y_train: (122,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6812198358251182, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017897713079797, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7463794447754541, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6151471936885031, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6612373857541614, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6233342723160138, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7583401978194102, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6229704775336428, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6490087776808229, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5980495081949171, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7745302366300146, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6717100525583961, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456708340950247, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.73858467187137, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6501998775467843, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5328641718669299, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7119343144614936, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5110356939253887, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6746376311842156, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5570930739891133, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501603592048953, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837705\n", + "lambda_max (after 0.1 factor): 60331109.76837706\n", + "lambda_min: 6033.110976837706\n", + "lambda_hp: 0.20096605937694173\n", + "log_lambda: 10.555983883315282\n", + "final lambda: 38406.5725204055\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.581220316279121, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5308843438989794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486768538576555, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7051402739011154, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6432755074628043, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6812198358251182, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017897713079797, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605800870711488, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6921455493357966, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5763615715488597, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6690260412890422, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 3%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.621557955657289, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6229704775336428, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6490087776808229, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7776339768037275, train_idx: 122\n", + "val_test_size: 17\n", + "After train split - X_train: (122, 11), y_train: (122,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7745302366300146, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5542291768132946, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6465662528500287, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6718276551022786, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6501998775467843, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515401389513697, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7119343144614936, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5250697366707743, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775752815639537, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6886446705136979, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.562102903641336, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501603592048953, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.563482758140928, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 4%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198756087851643, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449475840570033, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5326262859398113, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7051402739011154, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6432755074628043, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 4%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6812198358251182, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5105567051044618, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5952548288137888, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256299767274333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473209766796301, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6490087776808229, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7776339768037275, train_idx: 122\n", + "val_test_size: 17\n", + "After train split - X_train: (122, 11), y_train: (122,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7745302366300146, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5888965870213679, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 599230009.8581088\n", + "lambda_max (after 0.1 factor): 59923000.985810876\n", + "lambda_min: 5992.300098581088\n", + "lambda_hp: 0.6089875503738614\n", + "log_lambda: 14.30721322838998\n", + "final lambda: 1635097.8839649947\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456708340950248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.73858467187137, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7119343144614936, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.633431699087319, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 6%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775752815639537, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5928630834428996, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6657633774263122, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7296562611449908, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7276879329226067, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198756087851643, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5646822030271925, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090558503545907, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677236681290906, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6432755074628043, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262330278621844, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 6%|██▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 6%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256299767274333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473209766796301, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6191959344098226, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7776339768037275, train_idx: 122\n", + "val_test_size: 17\n", + "After train split - X_train: (122, 11), y_train: (122,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7745302366300146, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 7%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50717388049044, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456708340950248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5950968183480806, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5724256399398789, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7172250146898577, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775752815639537, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515357534674451, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501603592048953, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6940730263145068, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198756087851643, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246146510517454, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090558503545907, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677236681290906, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6432755074628043, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6812198358251182, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177629780892573, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738245\n", + "lambda_max (after 0.1 factor): 61806040.567382455\n", + "lambda_min: 6180.604056738246\n", + "lambda_hp: 0.556948336053984\n", + "log_lambda: 13.858855034146865\n", + "final lambda: 1044297.5685374454\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098137982116968, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095593191595966, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5520346987470328, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256299767274333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663094381524009, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384783679431118, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6562285441909655, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50717388049044, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456708340950248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6312262069468213, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7172250146898577, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 9%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775752815639537, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5612789309646927, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166573372285177, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6131453893524405, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198756087851643, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449475840570033, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677236681290906, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5930205250015238, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6812198358251182, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 9%|███▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6426342692955529, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256299767274333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519829226900617, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6191959344098226, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 10%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568668936838237, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284030286680292, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956386519723009, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564665886172404, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015869123756438, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531850648417549, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5970614523172355, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166573372285178, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.6696407653309927\n", + "log_lambda: 14.896790665132972\n", + "final lambda: 2948451.4701836333\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108513866630539, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449475840570033, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214640221134584, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 10%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5314667255326928, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556441147264236, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056927086523464, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323439834093268, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902060162894991, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.638731062591208, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507064775688815, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6191959344098226, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072399955586593, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284030286680292, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242127985516734, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409727080385339, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5970753104583125, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391321050108494, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457160415749931, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068889795126621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166573372285178, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5096269423080849, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449475840570033, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6018520181401602, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 12%|████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556441147264236, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6370940401478391, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6409637030740989, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215258293811983, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551625278115382, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422479238408804, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6322978106118858, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507064775688815, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5912976278859364, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060237674434637, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568668936838237, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284030286680292, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.30421615907390315\n", + "log_lambda: 11.527170870398315\n", + "final lambda: 101434.7354743872\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242127985516735, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6898201722691926, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015869123756438, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5879750089196136, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577415197787663, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.604506676017071, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6361562748732562, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078856343675807, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6070702417116688, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470783062730058, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5783395340703773, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 13%|████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677236681290906, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556441147264236, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5901748474527319, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5210500933606167, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546254495501327, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551625278115382, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6383470854737828, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.632297810611886, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5950929869013722, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5912976278859364, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6188625123325273, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284030286680292, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617467390423071, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127898075108305, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 14%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272047013104889, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6631028557824129, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6665327174808691, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5963548122663003, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 15%|█████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470783062730058, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5783395340703773, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677236681290906, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556441147264236, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056927086523464, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068367524804689, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5572896377399561, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 599230009.8581109\n", + "lambda_max (after 0.1 factor): 59923000.98581109\n", + "lambda_min: 5992.3000985811095\n", + "lambda_hp: 0.3352597087154433\n", + "log_lambda: 11.786086637429552\n", + "final lambda: 131411.20264247255\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5633566007445094, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551625278115382, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5107735302376871, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5875979790888853, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 16%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5835360187714741, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568668936838237, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6785902955453148, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6423681804404153, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6745702926701762, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272047013104889, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531850648417549, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450084371066704, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526606469302007, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6661828766517881, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5680414075851395, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5783395340703773, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556441147264236, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6058218930096735, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 17%|█████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541505643621846, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5633566007445094, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5916261865964224, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551625278115382, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6625441849213707, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.632297810611886, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233784761134984, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5912976278859364, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6029154107900488, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605519336570851, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546242646114948, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242127985516735, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509923630587805, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579507182106111, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272047013104889, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450084371066705, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668558847617847, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783445\n", + "lambda_max (after 0.1 factor): 60128803.23783445\n", + "lambda_min: 6012.880323783445\n", + "lambda_hp: 0.8616039852542623\n", + "log_lambda: 16.637325137971292\n", + "final lambda: 16807321.247237574\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5825965887524447, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5783395340703773, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655064667342441, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027161865117078, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5669410386810759, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262719776366931, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5737079293327607, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904840303607705, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5633566007445094, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5398246089526147, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551625278115382, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5657687879899512, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.632297810611886, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233784761134984, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5912976278859364, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6098914989660861, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568668936838237, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546242646114948, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5339238391054809, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322355368385092, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5252711387184771, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291585550808957, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491208704325021, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450084371066705, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075347194352003, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420958329338503, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074910337410781, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 20%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6116795516950865, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332674175577539, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5779207745644492, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5848888981208342, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288927868523458, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.567043128357441, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572984017497306, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5082086966967706, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6257844990485627, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6098914989660861, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6110929137319572, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118784517848254, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.050816570157625536\n", + "log_lambda: 9.201312386069057\n", + "final lambda: 9910.12643996979\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5339238391054809, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516229518633484, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322355368385092, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411012719990844, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291585550808957, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 21%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172478318363068, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5679680308875427, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5757515415406692, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726346123086089, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420958329338503, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5102706695526507, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081188529916448, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540842889355026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5043659856500695, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5858121795032708, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327952661081503, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172632517988153, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5848888981208342, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632133875267565, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072875702421763, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 21%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.567043128357441, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491310948726281, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175658964480875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391743550087288, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446521442638382, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440544428893207, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208374849795662, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500004046013661, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291585550808957, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086262896422226, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215090425035542, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668558847617847, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271084463978778, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.594014561788162, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074910337410781, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317427333025376, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340223479729952, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072792282211929, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172632517988153, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.07759802979276995\n", + "log_lambda: 9.443875556070061\n", + "final lambda: 12630.57266634583\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5848888981208342, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336634695700367, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288927868523458, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.567043128357441, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175658964480875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479773970544523, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410184109502659, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6087353364455325, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5558621701595529, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902921142552686, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073123669811097, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160759042347695, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 24%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032532224035632, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086262896422226, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5756826196704679, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668558847617847, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5076491731518291, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074910337410781, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147080157568387, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5769933997453713, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072792282211929, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449446922733583, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552894695584459, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288927868523458, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.567043128357441, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444237904363604, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175658964480875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302209286063161, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246501902126225, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410184109502659, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440544428893207, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322355368385092, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5611206992980177, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439863255818831, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086262896422226, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324418784087029, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203032448919905, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.42445351848570223\n", + "log_lambda: 12.638532666820105\n", + "final lambda: 308208.7730230529\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5121615423510051, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582717303116388, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317160493683476, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072792282211929, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5398671114974928, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5368277704706558, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552894695584459, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288927868523458, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676279798034501, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520588875149004, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313520113056016, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246501902126225, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434472365015098, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5724504018085356, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 27%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160759042347695, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386568008445759, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511217300842144, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5826738406936963, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668558847617847, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 27%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477653601779573, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176389403643253, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126570866256915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384171861082536, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5674926691674489, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5694690674895885, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072792282211929, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115508402577049, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552894695584459, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464805604865066, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5636705569996495, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5945493420175895, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361116765364312, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5640751409371502, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5602998545880652, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.2816977825626344\n", + "log_lambda: 11.300734715487621\n", + "final lambda: 80881.0402685294\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322355368385092, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160759042347695, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131851078166261, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663018548816207, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511217300842144, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502015398870577, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5521990412908783, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500952915670664, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214950690193895, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5777486519402891, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317160493683476, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430611046750798, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115508402577049, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552894695584459, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5130500076709891, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.525592251634881, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5240061647782136, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141933250902959, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508828133292342, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.55305869635837, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500824008510248, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232096640365866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208046232303585, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037268389798457, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 29%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543663949828788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522362320383643, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419816821527842, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6088299745882101, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5279555735659196, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5920044774167702, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548681319728001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5314538281724775, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5645384067058947, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386519307773255, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.8107854792251998\n", + "log_lambda: 16.192846730992333\n", + "final lambda: 10776158.773891553\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403163244154043, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320260680476058, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5772232095262431, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 30%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315610127397189, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175658964480875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.601812975255801, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191393647043788, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595622183281294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423072062721522, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543663949828788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5202016852727666, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441212609535768, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511217300842144, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257750887385432, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5659783196779976, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508221896550402, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349939347414087, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317160493683476, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430611046750798, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569207632422079, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320260680476058, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464805604865066, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5630403628465211, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175658964480875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5591127963915604, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550288909932424, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5299661007940759, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191393647043788, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5746216160812133, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441496833252752, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287156642613509, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522362320383643, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.557295734827877, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511217300842144, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334850197867951, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.8970919432085825\n", + "log_lambda: 16.967540215147444\n", + "final lambda: 23383476.891138047\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5987293863638388, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504871529677469, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349939347414087, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091624609495504, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317160493683476, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430611046750798, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5674331797473426, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 33%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5600784874707284, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5813510274231791, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095571913831083, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290048289280248, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475076954548291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5110126433095686, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191393647043788, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595622183281294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.562225470901864, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5527469226727821, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522362320383643, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311632910572347, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511217300842144, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506669331447946, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635626059203543, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399184291105465, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365760486794452, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 34%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443021995657075, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431678642164586, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317160493683476, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361256727994345, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.583384250775543, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5575950108583303, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320260680476058, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613140257241133, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5107215529242766, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563793192251841, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510874495137824, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525611398084735, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5110126433095686, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.964507857525559\n", + "log_lambda: 17.592940266226613\n", + "final lambda: 43703566.33474217\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024911062272812, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5592309036039594, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401973734433132, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5670197682368886, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522362320383643, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441212609535769, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348459584340043, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189574214654629, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155194540362925, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538545793323811, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537853656726196, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365760486794452, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5297092589371135, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5821672292711736, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487779779537922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209971117743665, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5366389633716214, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109341962497289, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464805604865066, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095571913831083, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318736349474608, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5547908648317329, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510874495137824, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 37%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635217967735623, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560381222435807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024911062272812, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595622183281294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073669064081325, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543663949828788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5566148181554339, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220010430032013, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086977671779369, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538545793323811, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470216854549773, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5136556007607725, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560770763500848, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5718928399345448, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503980483856665, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5701342739929015, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532079794472878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474165789806799, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.5716644124521035\n", + "log_lambda: 13.974718424200358\n", + "final lambda: 1172581.6614862743\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5197249061517792, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581573527973162, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464805604865066, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5804220669070278, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517234096520686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260353372227593, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409269115994269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5709996361961228, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635217967735623, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131590176150387, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373261487732219, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595622183281294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073669064081325, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542910572869583, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432018884152817, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 39%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348459584340043, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5687606132189829, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538545793323811, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387232615760588, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572018007138154, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217284190697417, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369982438839551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5554925268937508, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487779779537924, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079362439263, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581573527973162, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 39%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247574220097583, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5547908648317329, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5594571775649889, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 40%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635217967735623, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468170449417274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221433435476681, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595622183281294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073669064081325, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542910572869583, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54595790710631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432018884152817, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348459584340043, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5670483726820933, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 598933090.8259026\n", + "lambda_max (after 0.1 factor): 59893309.08259026\n", + "lambda_min: 5989.330908259026\n", + "lambda_hp: 0.42663157810417185\n", + "log_lambda: 12.627157031183925\n", + "final lambda: 304722.5688100078\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5258454513821168, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450213458934529, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535925672091743, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722685, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5297092589371135, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5859044700884571, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.525530219403674, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 41%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229800461044589, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569207632422079, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581573527973162, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342464735416096, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5784327198417761, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5580401845438518, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510874495137824, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5820005001488695, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347009130781445, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584101118317879, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363734187671126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323054354567371, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599698748649816, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073669064081325, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280314060805362, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432018884152817, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370012535986273, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 42%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336843782830794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54159013332265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450213458934529, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.55223312719604, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369400246433814, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544855485149725, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5660330641404687, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500076591944779, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569207632422079, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455715499681992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529462584800462, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5580401845438518, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510874495137824, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5652751893617489, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347009130781445, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393914676759647, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.7349691218023015\n", + "log_lambda: 15.483374841621732\n", + "final lambda: 5300834.620135935\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389898433854958, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442077311400122, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599698748649816, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466881757469862, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396830374698548, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582294422079785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348459584340043, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567876862000294, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548445964622039, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54159013332265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422504806409792, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300492382714297, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430861642940935, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5297092589371135, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544855485149725, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487779779537924, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559729588372714, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500076591944779, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569207632422079, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455715499681992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470155117823995, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546016715418246, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5574150931805965, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510874495137824, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342573026335662, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418359288487251, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291911825536363, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524195494944748, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387989924735694, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466881757469862, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 44%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289079912042597, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325464267109326, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532523731799265, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54159013332265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539551807438212, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372157296824932, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5666747633477166, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5608144663238739, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551478462381189, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280693077316427, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500076591944779, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.5716644124521035\n", + "log_lambda: 13.970241890468522\n", + "final lambda: 1167344.2915031197\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569207632422079, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467481925175681, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 45%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5696413218284084, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595859336048671, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509890729010973, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466747298773159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342573026335662, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410306809510467, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323054354567371, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423065563781739, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492894139232702, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523939996817057, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582294422079785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434264316613603, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532523731799265, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376829452336369, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311984781618537, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 46%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323349824763433, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544855485149725, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423651468308515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541488315287822, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500076591944779, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 47%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5503679206994604, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526497062100054, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318867863784371, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346681104184368, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466747298773159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342573026335662, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347009130781445, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494236314529336, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526856596007179, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544387804164779, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415257020053547, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391632449856584, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532523731799265, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.754436791648162\n", + "log_lambda: 15.653637713460121\n", + "final lambda: 6284756.859759262\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395518074382121, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311984781618537, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5366880052261166, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457278228090131, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5514784623811891, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5598462869789582, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448559480219826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500076591944779, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5503679206994604, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455715499681992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 48%|████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409103941108188, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466747298773159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466923617403701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300467380546795, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457872773897646, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492894139232702, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499210459423851, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415257020053547, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434264316613603, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532523731799265, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311984781618537, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559560892246432, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 49%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474426549126651, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519221813960743, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448559480219826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504502390461256, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444896083505745, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455715499681992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497293836016944, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402024531029287, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466923617403701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437032742849487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.9747413544984395\n", + "log_lambda: 17.683901905626545\n", + "final lambda: 47865325.447875574\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460521231662622, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492894139232702, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 50%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5321576136815619, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220996242345547, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532523731799265, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560541689209663, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463312792608993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535964691734173, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493159001886057, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544855485149725, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425169056257662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487274704361973, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551066455592587, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552478311172197, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447359613825709, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5695008998492564, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537506383149357, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466747298773159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466923617403701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437032742849487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490862697740242, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549542554321161, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551700773889384, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415257020053547, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434264316613603, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537031804519827, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541264391160086, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 52%|██████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5604921649690251, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494202047406628, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.553508461484608, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544855485149725, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448559480219826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.8858521933610848\n", + "log_lambda: 16.864018293356118\n", + "final lambda: 21083858.240070622\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513106947476043, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555415888001971, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5521282908480634, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530947906421512, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573338951619092, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 53%|██████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466923617403701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518210069684616, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420196125263561, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513526595796139, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399704277172731, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581663369745344, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415257020053547, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548544215380813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526757124821952, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544336493948422, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487852985105142, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5574686256209593, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535084614846081, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412106029154676, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448559480219826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509512956325383, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462053466831795, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530947906421512, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 54%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397540051293908, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402094980963884, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536368097023829, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406774604066797, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414966871389267, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524475740188445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415257020053547, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548544215380813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5534875074329076, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470122114251675, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9986064579125877\n", + "log_lambda: 17.906999981999146\n", + "final lambda: 59828936.03060879\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466441288436644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463312792608993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535084614846081, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463529141722686, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 55%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459353743764886, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549309320559026, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523962180066473, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513106947476043, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462053466831795, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459175272170759, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5554448015343812, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499088175605018, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445445363050146, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437032742849487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492606928763667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449082004655998, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551352659579614, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523919701332523, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 56%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453080040649791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542230366991672, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546004873832265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470122114251675, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462931031152766, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5532298181155274, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418031040271162, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5533455033108122, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428229610207361, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459353743764886, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425327271452826, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537751321992279, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406048634510044, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372075713202403, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436067391799119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530947906421512, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420062873097418, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466923617403701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437032742849487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.7613851713373896\n", + "log_lambda: 15.718818838247582\n", + "final lambda: 6708049.883035768\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387020276522869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432046994444762, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542088040221942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523919701332524, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453080040649793, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5392890899192543, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506210039452868, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470122114251675, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397610064557741, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441679299704822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463312792608993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5533455033108122, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985926, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482113000980676, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540565876393682, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5514251341752795, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5383853265819792, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452839700898443, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442011742330374, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538993062098728, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530947906421512, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418129931454183, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417796732307664, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545261668141623, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552906994579587, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445410223335251, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 59%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432046994444762, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456889030654102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525307460874279, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 60%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5549234535929807, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550743131342981, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506210039452868, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509401925094789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463312792608993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5533455033108122, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488039283741871, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464931404385264, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445461971590516, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451929873070885, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437915055439385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.763914205389985\n", + "log_lambda: 15.745404453600191\n", + "final lambda: 6888779.273258416\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452839700898443, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472153587210752, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452418369080528, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550535381598607, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 61%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421797095006599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437032742849487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432046994444762, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456889030654102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523919701332524, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5528633879334487, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506210039452868, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541209374633501, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509401925094789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433816589411082, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 61%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485494736721613, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459353743764886, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445461971590516, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433936695484894, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391996533226303, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442011742330374, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417172797304266, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420062873097418, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421797095006599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397659621804366, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424369672776351, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545004537999343, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456889030654102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 62%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493254006084458, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438317131032249, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441257735862657, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437990610791782, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9986064579125876\n", + "log_lambda: 17.906999981999146\n", + "final lambda: 59828936.03060879\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 63%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379191439730823, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463312792608993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475279794975132, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462776045303844, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437732451118388, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417934270622796, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433936695484894, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 63%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452839700898443, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442896682319683, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540343936380625, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551653682578993, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448952763087691, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 64%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540844588855158, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421797095006599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447672434886215, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447942175189057, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456889030654102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484854282064908, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548544215380813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441257735862658, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539763752116896, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 64%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500018658837132, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469117303022959, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 65%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437365995874253, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445461971590516, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445141079248225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518655657254085, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443271698289504, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429790724587777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468461342003057, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555388899121351, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485605442537671, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421797095006599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412599606680026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481134761531036, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.7613851713373896\n", + "log_lambda: 15.717634655431631\n", + "final lambda: 6700111.027091841\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422027746591208, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54629787071941, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 66%|██████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484854282064908, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476475910527696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548544215380813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441257735862658, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539763752116896, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535523503165314, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5405682151225614, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539135404180284, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437365995874254, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411324440989734, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459428874243238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537800756645307, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452839700898443, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442011742330374, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523639447012931, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433147531065016, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555388899121351, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474620411226468, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536482359327787, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 67%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448843355343069, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447942175189057, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424867519262316, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451961207981939, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465437949891103, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544186094103683, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494947919006458, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451895917961896, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429083360842472, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546911730302296, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454178056104518, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5408407386859191, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445461971590516, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561150832381785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491803407534808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.3126118565719153\n", + "log_lambda: 11.584279676581609\n", + "final lambda: 107396.15681611716\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457382623782777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442011742330374, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468461342003058, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492758271684277, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540545664155511, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454912476362009, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558410111831788, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444188929946531, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 68%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499028992978215, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54629787071941, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441958858311983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425442188017613, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544186094103683, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465795455581496, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508614458537718, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452829329149799, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53891726954438, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447738796249229, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447497144808565, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445461971590516, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459428874243238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434306789779603, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441955409330425, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 69%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468461342003058, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458025456321892, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430957024065708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467614655345385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465925741163268, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544884335534307, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470758026684703, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436155926656879, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445733573654201, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456666548688953, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441958858311983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544589015992108, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548544215380813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458252433800201, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9986064579125876\n", + "log_lambda: 17.906999981999146\n", + "final lambda: 59828936.03060879\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547130876825084, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452829329149799, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 70%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438720511985927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124246, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459428874243238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451825426710611, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457382623782777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453913992092135, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455553615790796, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467614655345385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443091029645982, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470758026684703, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446675531188595, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452281154182524, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447942175189057, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441443357911213, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462317101686608, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488447032903819, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475670263201969, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544186094103683, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450425342192268, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548177652212693, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466819425843873, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461578293290191, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521732, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450757462292883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461481392369177, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459279365140869, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516013126502884, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470134223906202, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477178555461075, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467614655345385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479034073172276, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470758026684703, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.7613851713373896\n", + "log_lambda: 15.722111189163467\n", + "final lambda: 6730171.533347378\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475788176667287, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432965434087996, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469190395001274, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519171876907186, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468356930185299, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475627723396386, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449087919968836, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509599255175917, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 73%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446054431266212, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468166715349254, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522995876571284, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461481392369177, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451825426710611, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457382623782777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465686295443847, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454385317035465, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545957008264124, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469818595633121, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444894541033131, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475067976518367, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456314126345929, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470758026684703, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451876921697776, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470501222542995, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912427, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 74%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464279773919121, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465545219104796, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455223327275956, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464273177796825, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468166715349255, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444194487608737, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442842565518022, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464403250366652, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461481392369177, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451825426710611, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.006299424168135116\n", + "log_lambda: 8.767514447706683\n", + "final lambda: 6422.189920981747\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456453734109156, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470134223906203, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 75%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475609087746663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467614655345385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472626039087019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544884335534307, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 76%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453304561205824, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462919406949378, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460425271799874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461139807867018, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458856348217093, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471308768250841, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471466288621787, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546833011145163, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 76%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466050463977122, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488130830654765, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471640403504424, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470991388350868, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451825426710611, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470134223906203, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458188276927403, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472658634199019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488505435070118, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547788963931742, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447273081666433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473076879030446, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484287979556896, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493021235871022, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471599123467263, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486450234472108, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.9986064579125876\n", + "log_lambda: 17.90252344826731\n", + "final lambda: 59561708.35343907\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500787994899302, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451534579822098, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483235461498915, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477467680401575, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461481392369177, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483357073644873, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470134223906203, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472658634199019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472154702749366, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464676512740402, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474458687633951, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487863012195455, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468959464849238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469150738016841, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487355760326373, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471308768250841, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458662418558754, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450280589633377, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 79%|███████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481881311321909, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457617841615726, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453360922390682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469880284878483, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451825426710611, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441977909040329, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450539147749491, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478538866638577, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471614818674158, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544475593630127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472154702749366, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547788963931742, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.9500412944055863\n", + "log_lambda: 17.45522176214715\n", + "final lambda: 38080837.55062045\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450099390119462, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430538150805567, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462249050006992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 80%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467360943254003, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491622816860601, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480414820150791, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549718349670904, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476319805849396, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464776962126243, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546962576964299, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455487589953308, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469926459640168, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476418252655403, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472455629382829, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440290774385849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480233359567722, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475179137554795, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472674795650943, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471614818674158, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 82%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466230486034065, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472154702749366, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456919607855312, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450099390119462, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469307211535764, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477363736502071, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474319569199256, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454647593275247, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547723566616813, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471308768250841, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546030948466797, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546458936162693, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.2936304213867595\n", + "log_lambda: 11.413930731509556\n", + "final lambda: 90574.74781657018\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453188056328079, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470292133297081, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451189464230259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475585061200319, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472154702749366, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456919607855312, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450099390119462, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437360950818272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479995162295803, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461523668299096, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 84%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471599123467263, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477637807115975, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456261158686497, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546361044800893, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476276284443691, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465988380839962, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478166140822543, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546543649737391, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485901789881803, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 84%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458898489048883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489272253877964, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487620875247287, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478624722901275, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460636981967751, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487895926174431, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54648458908544, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390258438932, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476854647475305, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471318125455236, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9986064579125876\n", + "log_lambda: 17.906999981999146\n", + "final lambda: 59828936.03060879\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481822593671394, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466938322500264, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477297716412014, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480545314161563, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482664397823737, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54764932589194, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464934385265512, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469530671242102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480840954372951, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453407143960503, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466230486034065, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445684761640766, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496534788882608, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457261948949297, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462870717833773, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501780716449147, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461862276907724, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487885939320756, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470577967769252, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5503480790170263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546361044800893, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469589452193631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443803046722665, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477674865315092, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451891261135249, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460447528063403, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482512213779152, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 87%|██████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480652779971457, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476880382350757, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486441756457089, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459985262833821, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.5423431594820214\n", + "log_lambda: 13.704659704213086\n", + "final lambda: 895072.2356406235\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450099390119462, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460883510295836, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501796341166844, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452862930610157, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462227759632099, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463441266390717, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478820835250691, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547799847099934, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469589452193631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473317820647675, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467807863111261, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463342191467663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490231507836801, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492894097137916, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481917711489198, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473179242121861, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478016763077426, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461317258825925, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468887338853149, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458362385746766, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460233519972019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469556955432473, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 90%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471599123467263, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469380018382527, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474059758043827, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474788793558644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469589452193631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459903419521733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506814993309431, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473552113958939, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.08101625664736327\n", + "log_lambda: 9.4556819063563\n", + "final lambda: 12780.577393311381\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477222864548515, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473602052966433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478561599828579, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460591906804643, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489562409732345, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469704257319203, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470821429413707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 91%|███████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471599123467263, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545116082481159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449922754636612, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475005181995689, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474788793558644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469589452193631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469508239164383, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 91%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 92%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461777977504072, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462205165015482, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497303631873881, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461200708784908, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489077803665415, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 92%|████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468887338853149, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466199077317906, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470821429413707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 92%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463480117365277, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472717791682559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545116082481159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464350048442179, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9986064579125876\n", + "log_lambda: 17.906999981999146\n", + "final lambda: 59828936.03060879\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474788793558644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547815644042574, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469508239164383, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470724536184037, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461777977504072, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463603802932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461240396250671, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469767697017017, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470376359218553, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464828986804589, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474791943937811, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468887338853149, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468364351749984, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479295177613003, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490484715360412, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444707498747694, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480650860513674, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450897751870278, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547436823252802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478505541256756, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471380475275365, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547706687743216, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 95%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481248947020947, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474605933942643, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480552862296345, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464244617544617, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458822113907539, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446170795955786, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468617217992059, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546947346558011, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461317258825925, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.567510953624327\n", + "log_lambda: 13.936463654675547\n", + "final lambda: 1128571.977388637\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468887338853149, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468364351749985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470821429413707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500388413182049, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460360100413599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484506360709389, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545116082481159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483170655315884, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483448195119281, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469589452193631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469573209587781, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445165956403838, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455771721972975, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545290085708359, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474605933942643, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425006201752322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476344905819335, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461362307849945, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469767697017017, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475247154433304, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 97%|█████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461317258825925, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471854208329546, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465634656510889, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470821429413707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468245693041399, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467308231256667, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475884867433822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436502958292854, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480088650441991, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469776957425823, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469508239164383, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461085192124248, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457757551772348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461994521900662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.9880660354549355\n", + "log_lambda: 17.809919103499748\n", + "final lambda: 54293718.86305261\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474605933942643, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476683533277693, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488367099433391, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471909444075045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469767697017017, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468931142142485, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466394344806188, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454401131171417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464702814304226, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468887338853149, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478109860037106, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470821429413707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473919628912428, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459834822295878, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473064983133983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545116082481159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472244746950902, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450495646624938, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483001381236497, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474788793558644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469776957425823, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451635726382612, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470912641843663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465580770756026, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472468641717158, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478157810417373, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469823833733871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450680297758401, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465777655523443, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476683533277693, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 99%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482705296222234, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443832511935518, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469603877185524, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471762651363784, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473211872601578, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 100%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463864218039777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546648681756579, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456123112441373, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483373122335536, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470451229705455, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471691841142777, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461395761767757, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547839682441761, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462965169936155, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 1 of total 5 trials: 100%|███████████████████████████████████\n", + "2024-12-04 13:20:53,281 - robyn.modeling.ridge.ridge_evaluate_model - INFO - Finished in 1.53 mins\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545116082481159, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452842168472333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469013597900462, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397181351058338, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.5431327110915285\n", + "log_lambda: 13.716496203237295\n", + "final lambda: 905729.7064275787\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6298051161503676, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6605533894980384, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5549809693187309, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5735101485344579, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6377732704159437, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301498627609369, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040410386850486, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6078457397706577, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7056245788362437, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6476770501498106, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6416828564277528, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6567220208823701, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7484834498908516, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6110825337971909, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7509085080603242, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539314072415253, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.543954260915614, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6811739648875473, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6821763767278947, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6224373696722445, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.653630518639613, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6033228961274655, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578425152708689, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6563236129059392, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7533482260433402, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397181351058338, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6298051161503677, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.554980969318731, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766629702295722, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547294200384889, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352991841021802, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337346795630651, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6476770501498106, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6154388503658871, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.603213399409694, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5840158013520752, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7509085080603242, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454557216784346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489318459489488, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6811739648875473, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548878622428729, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.49806686333367234\n", + "log_lambda: 13.292383412544535\n", + "final lambda: 592664.2996535724\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.653630518639613, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6693153596928456, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5355389856971242, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578425152708689, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6139230394831603, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119450787219676, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5782402244115679, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6359263613827608, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5813588010576785, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440495718461056, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 3%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380751706450978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5735101485344579, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547294200384889, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 4%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337346795630651, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6333993050197965, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443128863100964, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230419029807302, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6567220208823701, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5840158013520752, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5919927886350984, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454557216784346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260951594783235, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6811739648875473, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.600914156072274, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 4%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.648248124006805, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5669385914421883, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5793314599333955, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340125181421708, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 5%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5667052878791082, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5840389786855387, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6070458479425199, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632749748163656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257287777086066, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5735101485344579, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5238269374546576, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5974827640701519, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6305573541391832, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6124291390698556, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 614635174.682674\n", + "lambda_max (after 0.1 factor): 61463517.46826741\n", + "lambda_min: 6146.351746826741\n", + "lambda_hp: 0.8199204836299836\n", + "log_lambda: 16.275360705070153\n", + "final lambda: 11703057.671510857\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6154388503658871, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226827022086995, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5840158013520752, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6900328634730735, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5960978686675553, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6579337950400654, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 6%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254190589464142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6136256135911776, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437882298734268, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6286874075276728, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6084765646758376, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7533482260433402, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181620723842962, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632749748163656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 6%|██▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6353886767752247, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.554980969318731, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6048985083333308, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5965065902997805, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5833598714672347, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 7%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128447364718105, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6927712932467236, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5265674921381469, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404313097557718, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529111179257271, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5638069048249926, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6760374966554523, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6529109998006873, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454557216784346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5830700230454043, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458094456040352, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6286874075276728, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5184863453456455, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6639408318449442, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397181351058338, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.707879845404207\n", + "log_lambda: 15.23387338556474\n", + "final lambda: 4130352.8022597576\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6336790939933237, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059943304195775, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503738425410982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475548666556047, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5974827640701519, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443128863100964, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5869867415019464, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226827022086995, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5638069048249926, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5960978686675553, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5639745411463168, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075770131002846, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254190589464142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5871481003769286, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7441584184895653, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340125181421708, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337855396952906, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 9%|███▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632749748163656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503738425410982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396367099125986, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6360865542017894, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 10%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5641288611113567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443128863100964, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404313097557718, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226827022086995, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5638069048249926, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228132290919858, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5960978686675553, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454557216784346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5621109811821999, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7149098561065501, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5871481003769286, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 599230009.8581088\n", + "lambda_max (after 0.1 factor): 59923000.985810876\n", + "lambda_min: 5992.300098581088\n", + "lambda_hp: 0.7466897179664408\n", + "log_lambda: 15.575497061876543\n", + "final lambda: 5812358.949766933\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6604324849145842, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340125181421708, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5859414234511946, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766202714867203, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5768130898581465, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6542496101692888, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5240958862489656, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6198849640528402, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287932308762882, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443128863100964, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404313097557718, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226827022086995, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5053909242217098, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6328621133154176, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6351034165108829, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017032263788418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 11%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454557216784346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254190589464142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5669881498660905, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6317068903293102, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6604324849145842, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6445074652218765, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 12%|████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766202714867203, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323359428794817, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6542496101692888, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6048985083333308, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5707584317144782, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 12%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396620195617413, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6221488463271962, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6237021438332886, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838690879790737, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 598800339.3176708\n", + "lambda_max (after 0.1 factor): 59880033.93176708\n", + "lambda_min: 5988.003393176708\n", + "lambda_hp: 0.8218496309129664\n", + "log_lambda: 16.267028147493555\n", + "final lambda: 11605946.424052252\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211611414303302, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5990889586147632, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6351034165108829, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7001815538532379, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5796287771704767, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6218048334507668, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5130684933974254, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564685138290996, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 13%|████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6604324849145842, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6017090371325765, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766202714867203, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531389061659123, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6453886899031841, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5899457690862799, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6048985083333308, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5692884638524989, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7005472050484517, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6003170445824649, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211611414303302, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223693223499462, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 14%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6351034165108829, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558605960770611, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040764644726337, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460816509965837, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 15%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6448516074696163, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6546986936460708, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6948689065141894, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 15%|█████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7016515475941769, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.697823179141076, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6407291447721447, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54861752150836, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5859414234511946, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6199548502264242, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 632944695.6371471\n", + "lambda_max (after 0.1 factor): 63294469.56371471\n", + "lambda_min: 6329.446956371472\n", + "lambda_hp: 0.707879845404207\n", + "log_lambda: 15.27278246129429\n", + "final lambda: 4294228.4635100085\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632749748163656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6542496101692888, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6048985083333308, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6229681256026461, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268683010555658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766314945955389, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 16%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374330763153633, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6707218320559682, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337542027138844, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254190589464142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5871481003769286, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5944164160133029, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5818704427945713, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6604324849145842, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038600073338112, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6031634772324428, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396699653539627, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.533471791002147, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 17%|█████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766202714867203, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209821034939696, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.566223762502794, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5918331495647254, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6552247257231704, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.587398425832404, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5766314945955389, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6331033463157554, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5314181775635302, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6015334252391119, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6223961586157593, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337542027138844, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254190589464142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536189775573636, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.4090783281458919\n", + "log_lambda: 12.481809707952742\n", + "final lambda: 263500.2795707993\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470085566754322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6601414631548593, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5757267073872079, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545503476454217, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504874630298354, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632749748163656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5833285540638614, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511188678938894, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6861303533616555, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5782552406558702, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6041145148424942, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374330763153633, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5864285991946815, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394804266785901, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304291069856789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615773517113557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558061296951015, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980343226836919, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5647529427890922, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 19%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5746592159854748, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302163402204358, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396699653539627, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 20%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450117777439084, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133388463468009, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5918331495647254, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5636544549765512, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5619647059363624, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063106717744204, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 672180806.8712615\n", + "lambda_max (after 0.1 factor): 67218080.68712614\n", + "lambda_min: 6721.808068712615\n", + "lambda_hp: 0.500925596114603\n", + "log_lambda: 13.426807696422326\n", + "final lambda: 677935.6808519032\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013034067292185, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138882947775434, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 20%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7370585163592629, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6209170470955849, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394804266785901, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439542609156142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 21%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004481919208865, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6317366066178676, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5877460900541497, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470085566754322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367332550965447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426136991382328, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396699653539627, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397760609753657, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504874630298354, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290951688664218, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5918331495647254, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6048977571619043, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5763524611679894, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560239956665229, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063106717744204, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078205896391478, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468784901881735, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374330763153633, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6425515224761051, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5983128785842116, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138981727245641, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522154128656863, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6078019996327843, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558061296951015, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6120956361585905, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5709965625641338, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470085566754322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090744424615692, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247719940163257, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5865622032775415, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226862941140062, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6204946156845531, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 632944695.6371471\n", + "lambda_max (after 0.1 factor): 63294469.56371471\n", + "lambda_min: 6329.446956371472\n", + "lambda_hp: 0.3644226920024204\n", + "log_lambda: 12.109425175273797\n", + "final lambda: 181575.20060406698\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325669548477744, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115638165803245, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560239956665229, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063106717744204, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.525761639681125, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.57628832449974, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6788172428161738, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5644667562130166, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601740318967641, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340581195173842, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129446227552543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476634254864041, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6401403357770805, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063811185191744, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6085965717098828, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5106472672869488, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216794208315221, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590558890138544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5528655716699491, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396699653539627, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970811, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084092819693181, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055217711604236, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126748153767446, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280302524226261, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5226745812073837, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432550301878382, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5587671020796339, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243585266472327, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374330763153633, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6607534757027146, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129446227552543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5107112947502119, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004481919208865, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063811185191744, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.6259805163555\n", + "log_lambda: 14.501289787132295\n", + "final lambda: 1985318.2508418167\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5877460900541497, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104329832586998, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287992529955872, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216794208315221, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036911322386405, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054018536712912, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520994674191824, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517981494050621, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224909155238054, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280302524226261, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063106717744204, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531261315769165, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243585266472327, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417163253960634, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109358021592046, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 26%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7286066961514249, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257505519972628, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325334141999258, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 27%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004481919208865, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063811185191744, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395545580865221, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537324861729326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.505020749652858, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216794208315221, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578733425891397, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023670223333416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054018536712912, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7111406627043118, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020489854619588, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266533861879077, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181428188080391, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525942940827033, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455713329939216, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340073506763502, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363155607008026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243585266472327, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.42591647594455373\n", + "log_lambda: 12.648072212154364\n", + "final lambda: 311163.0132362696\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374330763153633, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137616976097816, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517936692428294, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302871063280591, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129446227552543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099236205706292, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063811185191744, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395545580865221, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5951174095468026, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5716063347045949, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088101753210984, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6589765451248617, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054018536712912, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194342553400106, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5077710063165232, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6001187707137517, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6229890928122158, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5290154484872835, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363155607008027, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243585266472327, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468199789589121, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155852032466757, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 29%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5066775308829556, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577761176773854, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6000603382524007, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099236205706292, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395545580865221, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53666721941727, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088101753210984, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5954247438330387, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5610149652844104, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5185078264752232, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6138796388685701, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6050217977443079, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608989780.8181626\n", + "lambda_max (after 0.1 factor): 60898978.081816256\n", + "lambda_min: 6089.897808181626\n", + "lambda_hp: 0.8208510410801514\n", + "log_lambda: 16.274704063336607\n", + "final lambda: 11695375.477934137\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5849485283170428, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025443841276496, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525942940827034, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5270997136076497, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 31%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5309032896890539, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5549444850438424, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191055010692772, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155852032466757, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5762543932485035, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221429973824229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129446227552543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099236205706292, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395545580865221, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497438795150033, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5100611389159135, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536785786013462, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132500667516388, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539642517897008, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655360326761399, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5604808388429814, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.561836939908609, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5780758495099786, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5990866088156737, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042398637041565, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151118226384681, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5111359688912994, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255317550243324, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5742541017346549, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5197730593745272, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5158164305691266, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099236205706292, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.8726519548051346\n", + "log_lambda: 16.773217695298403\n", + "final lambda: 19253774.84462371\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5997644558528397, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5782591735371035, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088101753210984, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150418031103153, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230740219316208, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5169254087032148, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5066382079155802, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 33%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525942940827034, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.581904296524239, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5984155662327408, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6583061312573943, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363155607008027, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5338708402474776, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138938020311733, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329776588688623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221429973824229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5333921981486014, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395545580865221, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 34%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6164796742762392, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150418031103153, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5739403676476891, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223609780750447, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6198355470914357, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5744899691729866, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5976100468448892, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525942940827034, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455713329939216, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53007643502688, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363155607008027, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.598774653678298, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608989780.8181626\n", + "lambda_max (after 0.1 factor): 60898978.081816256\n", + "lambda_min: 6089.897808181626\n", + "lambda_hp: 0.7443322957127098\n", + "log_lambda: 15.569940373665894\n", + "final lambda: 5780151.050813885\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040583664168763, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243908260395744, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526897601293945, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221429973824229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.505983293483198, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391804794483346, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211637791338739, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5742062354507841, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150418031103153, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230740219316208, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374140156146546, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5649352334987015, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193808141856316, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.588503314636339, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5159123875340886, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 36%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5962343157077812, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531698818195456, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363155607008027, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047944964983169, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 37%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6054635020819125, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155852032466757, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.614816930294419, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038422771982578, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221429973824229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5971034571603877, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540527863685901, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054904609082176, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150418031103153, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113258476828857, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120379214152992, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5745391877045896, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.8208510410801514\n", + "log_lambda: 16.285553981711615\n", + "final lambda: 11822960.237737894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040175598566681, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352310548869029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519416033661614, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5121952378964838, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455713329939216, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6105749159166032, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5003429585912595, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155852032466757, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490260321002224, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038422771982578, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221429973824229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060280148632921, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6346063969152169, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.505983293483198, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318798037102133, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220021500876947, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162289011023106, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113258476828857, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374140156146546, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5729949563752449, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430577396932285, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 39%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219530099246259, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5121952378964838, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6012196179391548, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5174898839936142, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6123746997061803, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013535383098753, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5852923520259253, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155852032466757, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5142778985431253, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038422771982578, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251057139936617, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501520643375057, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074121211741903, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.8726519548051346\n", + "log_lambda: 16.773217695298403\n", + "final lambda: 19253774.84462371\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.505983293483198, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5171372744578803, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072755780778084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113258476828857, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374140156146546, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 41%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255895393970812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.524390163996429, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024342995867083, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332854090154467, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032575687909344, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013535383098753, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421396128173734, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5769571759932717, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088974574092584, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172032, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5949912296548605, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147863634306277, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 42%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5134348455946218, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059261842637967, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150418031103153, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074537872535672, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113258476828857, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272431342566442, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.607262714021314, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353028658988689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5121952378964838, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340965467283884, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6104829856171003, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304479536188732, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013535383098753, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.9932668052935957\n", + "log_lambda: 17.88530196893747\n", + "final lambda: 58544749.525852725\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5039472502535166, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5066987253589088, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5710708078340468, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6307378530873661, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6004472959836584, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074537872535672, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655457973298481, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079268185521, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211251374999362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113588518011117, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5772909166951222, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6484696772057406, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190677970130557, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340965467283884, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367820363919061, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890494180973563, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013535383098753, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.518383646124266, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213218505689434, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 45%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000488806838888, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224215119181602, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.505983293483198, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062914029611706, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081982299951756, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6229655973179636, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511784044226715, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113588518011117, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.894568556651802\n", + "log_lambda: 16.97255537121147\n", + "final lambda: 23501043.237437025\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225909890836149, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 45%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5594336355330027, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190677970130557, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340965467283884, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.508085710038199, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5064651097762923, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5672300855564827, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5620665783285527, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5097930607121123, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5105079243211985, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5067288257716773, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190044291927707, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6257760450702994, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095115263880848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507880092817443, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.617604264542404, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 46%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5845152403154676, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5065987451447407, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052777309383636, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5686894166741054, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340965467283884, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104373230339913, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078087061845293, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026506074099237, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5039575624637045, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223011852368558, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5861027796744744, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091249342021424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.8726519548051346\n", + "log_lambda: 16.773217695298403\n", + "final lambda: 19253774.84462371\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507880092817443, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075060298728948, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5169784678682204, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056182200026387, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059840433066288, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055758457753662, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5103785377410024, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 48%|████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108675711928206, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048224649825808, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104373230339913, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055530729292808, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5196304570297775, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125083748311041, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5016233171763775, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 49%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046300350233253, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561891890392014, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045482965699086, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181495315055962, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007114419995754, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018022617094003, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182265242481463, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104373230339913, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.9210966757958816\n", + "log_lambda: 17.220590511573924\n", + "final lambda: 30116703.566819552\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.508826464641777, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213171701654953, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6172146850717161, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255326564533246, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 50%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018088607460086, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025675060532272, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129288940609064, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5134058105228021, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 51%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5321496430316585, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5066205060138055, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515190944352114, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081885239722099, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6303986483310785, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033118241045411, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104373230339913, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168766539625494, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057147004351529, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 52%|██████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5888508057055021, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 52%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.7705887866313892\n", + "log_lambda: 15.82262151037564\n", + "final lambda: 7441786.585007893\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073193596458829, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5997537201367191, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5123369341927424, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 53%|██████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104373230339913, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520747984319247, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6119736425940043, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402743042666371, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521571132508053, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6501136467287948, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5184495766999331, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 54%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6420695827579072, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221585030603992, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5142960993314888, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350502170836786, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176610782373856, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488620182220123, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344361712651224, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541252967853842, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038363785926261, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 54%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5355110677196494, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.518018887576074, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5783930218245446, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219332725230253, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6333893897821193, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 55%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030983675419323, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229985087694543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.7284060748782218\n", + "log_lambda: 15.445844490641655\n", + "final lambda: 5105579.353687351\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141561410929455, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5210321733842919, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5080215232402968, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 56%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218589656606244, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059566226910588, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517359559448808, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514114675256182, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193790586424345, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182058293095266, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203980762154393, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526361527226009, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373097191264171, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182782254845855, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371880504624776, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5183275349502364, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 56%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5112704070920764, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5171742365293305, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 57%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519491528517289, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531324344308615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228204398635203, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015380560636025, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072100554432153, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5896036424982495, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5159680177200892, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018022617094003, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190168470692667, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176645459571686, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152107860484353, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.6200526494082721\n", + "log_lambda: 14.447872561593863\n", + "final lambda: 1882050.7440458564\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161466792514823, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538664655176586, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069535678072982, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151379754705258, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017921324587408, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5183303888905154, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5736291763048524, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6300499109441584, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029590844688507, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524639643623716, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501920376107978, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5986089818429752, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5248739735878416, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018022617094003, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230665500480451, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 59%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5328319586928792, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215435530754057, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 59%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242088843725462, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517581435417821, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091617598702151, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5259342832265648, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192264707336833, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284066458241367, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515282712734748, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300221753105473, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390130212921619, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.3836719702326904\n", + "log_lambda: 12.25898593570221\n", + "final lambda: 210867.6439340055\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457751964611158, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010210766712934, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5889213263566496, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 60%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215050261466657, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247079793326778, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511674189969366, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194504046153819, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198918890260297, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.513636544174923, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083699041617049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5250777168701594, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217030674101211, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283431801360062, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132442857794544, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450370614237728, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289425977921345, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5122547295235704, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6488684553511873, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131871990901232, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539751133342099, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224506686250784, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325037335742713, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073234449204308, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091680664607228, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.533184589957491, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224650983115438, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5082969066047617, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 63%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6089699457133825, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612105771.1401714\n", + "lambda_max (after 0.1 factor): 61210577.114017144\n", + "lambda_min: 6121.057711401715\n", + "lambda_hp: 0.6041373580441334\n", + "log_lambda: 14.283800888246542\n", + "final lambda: 1597261.0686325755\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5205718133115226, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529150497030285, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418769608372899, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.592034604516208, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5241904068073681, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5207488296860231, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318018260764419, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 63%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404223836680209, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042074481074199, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 64%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178741101688767, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540146347668166, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191533026414701, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320352648936922, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5171221138606311, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213583850642122, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 64%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6641274064691514, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882619479282373, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5067989943394993, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 65%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268628531485305, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5196765987324113, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177802265391372, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335752736126599, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091187640557915, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5144639932968127, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6489370929810366, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131999499390063, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5237554872446658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.6200526494082721\n", + "log_lambda: 14.43613244826822\n", + "final lambda: 1860084.45071376\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000580559842775, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188751405384187, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 66%|██████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223347340312612, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536697303314679, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014383681626188, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5089004236607864, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5654949680326413, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182225756282891, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256682117187395, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396676066986489, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5080300443484849, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335752736126599, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204306008876208, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 67%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521735906818343, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5212067839878304, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526061951359268, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256151185248766, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233165518215173, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5145945558731939, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427605548652847, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5644249112873047, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229010442851431, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356003805802247, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.7311448379554987\n", + "log_lambda: 15.45932931745593\n", + "final lambda: 5174893.501356513\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073336581822903, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018022617094003, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335752736126599, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287089063688183, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128111184090245, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 68%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521962631807623, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005497363713329, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288720382429773, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5644249112873047, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5043581134194, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280091356892911, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5609943569910508, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264424513409289, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347491635011921, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018022617094003, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 69%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5212903141779747, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 70%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.512042618202973, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133678303016281, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191555342359403, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.523241202835243, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.8614999552572813\n", + "log_lambda: 16.671684430359875\n", + "final lambda: 17394844.555351086\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216668839550261, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450713385174204, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 70%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213908743770964, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063361642381856, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5202696217184125, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078315990261818, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037614660251603, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5279180692132669, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025067764311186, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052570081448006, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303918638134076, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138633986529431, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135477224578489, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353410462105964, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271482860902701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520140973528957, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190622458183815, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470089251653073, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5644249112873047, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5527164339687844, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204360194687946, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024154938709955, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349765890338748, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228145033971455, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5185279623655886, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337839412359006, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50355459748966, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283015409921737, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.9396972687186758\n", + "log_lambda: 17.38016819018779\n", + "final lambda: 35327356.38512839\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025560393737154, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5173699054852307, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229673676271284, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261097823404097, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 73%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054535805551755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084050313898796, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296271047773623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127245335898458, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 74%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406101421965757, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060930153699574, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5798749818424087, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188720744113761, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5140580659491254, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517975181685278, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191801852486847, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 74%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534033999182698, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063606880615195, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059886504737343, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393658966446542, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 75%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010377620052269, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541456912242383, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5146440452695484, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029751622591813, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456023882835414, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047447612092526, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230660010972515, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.3836719702326904\n", + "log_lambda: 12.25898593570221\n", + "final lambda: 210867.6439340055\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024154938709955, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239696774773003, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188477989056609, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5685573638297584, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 76%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083076536064547, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5186405959696804, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433300062822037, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403090535314417, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5200355544013721, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284192348285834, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336591250349769, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317728905848805, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139478288816806, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5134049119695134, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551615375797445, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483927003384556, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272045560636085, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315759159765688, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337164780843978, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500378733224676, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313272732400266, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5659069894812748, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5244947368403255, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129110300756914, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235038939731296, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540725960833775, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032456623072079, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342495967889221, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233999539385391, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.848589407429846\n", + "log_lambda: 16.552773890480516\n", + "final lambda: 15444660.308655865\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005497363713329, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5100759611174799, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045437711849998, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215165202917649, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5222520081956177, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024154938709955, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193764431531201, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083076536064547, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491583850201524, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.523106288052982, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247035718978, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362465527519543, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320484284723029, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251636449695678, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510507934916224, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455324452554501, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 79%|███████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5333017706110469, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436598652066458, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084865412979872, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093271025621093, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5096136193696033, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353895468262493, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323170122777241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262354432249713, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5163223530988986, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.8615434084139589\n", + "log_lambda: 16.664279326208952\n", + "final lambda: 17266509.67275797\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "train_size: 0.5120825630946323, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079487287607419, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534208116271823, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504933914443312, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 80%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5314523286608436, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181709243533061, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285936950948394, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024437049013997, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532645644719457, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024154938709955, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5206733313123562, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042457302221806, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5201415477414014, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262354432249713, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 82%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178864732137964, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5110767156480337, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204617398772594, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5174232059408017, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230990515249878, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176954012429886, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281420274909416, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5253156566174695, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221533168735554, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245605510212609, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.4471757329298414\n", + "log_lambda: 12.843877205044176\n", + "final lambda: 378464.3671077348\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024154938709955, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5200028685433183, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532290020813327, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091693843904467, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178864732137964, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221851497014255, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042389333678967, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5345124688730997, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 84%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5230526544317273, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5174493449979413, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5183204022405988, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175983238364995, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.518307596256974, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209526720641429, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028653767257356, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042127008251603, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404632568625919, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176337178510241, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204456307304177, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5273313984750354, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 84%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311143605692366, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.563895376578872, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114892403229958, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 85%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175433024018017, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5276606365198896, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365290275990546, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332931451024211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5110095260273858, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.6041373580441334\n", + "log_lambda: 14.301287311010974\n", + "final lambda: 1625437.0818267842\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084344566770768, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.533378777988407, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5157830625990051, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131299462197594, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119013849435228, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239657303480229, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376418420824737, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429735601278906, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063167897845289, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126073860158364, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254157044610108, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413811691057224, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5082192656088975, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257611324547381, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.524148859441529, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 87%|██████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52529362919656, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128482262349272, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5167541497333801, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117454763882572, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5185395725388625, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177503394810213, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 87%|██████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285103089422368, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51595627598451, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182964\n", + "lambda_max (after 0.1 factor): 62290344.261829644\n", + "lambda_min: 6229.034426182965\n", + "lambda_hp: 0.8377358597978973\n", + "log_lambda: 16.45280902254681\n", + "final lambda: 13975397.532094657\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5201445811810254, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176946019590761, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388323332558993, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363158215006996, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214872761792131, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018501214292692, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532360153115641, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52529362919656, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5186856090732792, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520004752933752, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387224687076724, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160211076992167, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172187291482337, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444913856460788, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452878589751359, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320203030117292, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506994223647525, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 89%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161666953018522, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045177283665698, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235275085447813, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034203101010314, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502663746267712, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302028865909331, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754219021503443, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.3836719702326904\n", + "log_lambda: 12.25898593570221\n", + "final lambda: 210867.6439340055\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214679204050563, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411654082996875, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 90%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192045081634618, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5080380688347178, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063669311970345, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579514823305315, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360160234852022, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178864732137964, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030176977370564, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203353590324176, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 91%|███████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246640219816582, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161666953018522, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227122304032313, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5180664545455084, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5179399666084045, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 91%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318949219663831, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429664173253345, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 92%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239743190182701, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51416637328929, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295158961570519, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095982772271095, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 92%|████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5733298429566218, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139369238906392, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271344826297448, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5312194236045, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 92%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5809943442060732, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534404554060749, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.6041373580441334\n", + "log_lambda: 14.301287311010974\n", + "final lambda: 1625437.0818267842\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177372491156875, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479892501870413, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363593040352186, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52529362919656, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041717221995368, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5768800334670016, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331556793470054, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5240020094623614, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488128331917783, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257416354136779, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023514369881807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285136061749801, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 94%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5253447941419351, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073389221227249, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030176977370564, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5206179262105656, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187400458756277, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529764282142704, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262606216231694, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317593367286649, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168826181858026, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432511143400345, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369683349997311, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52529362919656, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5061056897757278, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521864263727336, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127140963504657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370393638438279, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260853546937398, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002671204540887, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500628436886863, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245212037385273, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.7849679337029537\n", + "log_lambda: 15.966798462489098\n", + "final lambda: 8595921.998054145\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5197793826729004, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5067295132479108, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263256298348221, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5186950881240231, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380882437294477, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.525856222745789, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5106816229221881, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073003136671866, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245113829221094, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175502391417611, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51908908313907, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260287741318419, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085692599958763, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192605697495253, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517852489825692, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.523221009411915, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 96%|█████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182790216896522, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322900208133271, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318052512527508, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030176977370564, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5116893425067683, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.519420517557266, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190116512306848, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209601415086899, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038835014206126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204720768988009, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504328922217517, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285134389794037, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775583613752271, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5153171813429348, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208741196074766, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532503942898786, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5338361236370429, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538628318830407, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.27293159929598537\n", + "log_lambda: 11.227851994713953\n", + "final lambda: 75195.90056689864\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283817239330717, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216011389033633, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129395793148219, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135189921965069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193750743879229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042587844857358, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155400299408165, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517399907697555, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364585819022517, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161666953018522, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5103153183719478, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261815776212527, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000591232661112, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500096482088756, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098917306994395, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456690814553562, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010031926756698, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070153579544974, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138315632111172, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502478865899848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5201848380028511, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5297989130087765, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303362430889261, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187055897836843, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5192119277801415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5306074417340046, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 99%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349794948107878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280463288722088, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020784213005508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5319363688560196, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218179470342287, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019000740936103, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022538003818535, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007983538273852, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030176977370564, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318824199847295, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189454758172033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086180108353124, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057416904504962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161666953018522, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 2 of total 5 trials: 100%|███████████████████████████████████\n", + "2024-12-04 13:22:31,732 - robyn.modeling.ridge.ridge_evaluate_model - INFO - Finished in 1.64 mins\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5183115939056268, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281947896003792, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6832555432857754, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 669820545.9918135\n", + "lambda_max (after 0.1 factor): 66982054.599181354\n", + "lambda_min: 6698.205459918136\n", + "lambda_hp: 0.7720410312639253\n", + "log_lambda: 15.920355606772029\n", + "final lambda: 8205831.40772025\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282114976683632, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5860265404040723, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6488999228257397, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 0%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5723333321021473, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7953055802908919, train_idx: 124\n", + "val_test_size: 16\n", + "After train split - X_train: (124, 11), y_train: (124,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6217755705712162, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160002972806791, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6475176528609069, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5164537156066203, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7664224421248536, train_idx: 120\n", + "val_test_size: 18\n", + "After train split - X_train: (120, 11), y_train: (120,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7719397645393917, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5803667720491098, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7219975464440325, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7841101287455025, train_idx: 123\n", + "val_test_size: 17\n", + "After train split - X_train: (123, 11), y_train: (123,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316153044627687, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7382818256098946, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7559741254302101, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468967262070007, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6803492048962387, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6985372965033974, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6060214442031048, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7138363244773218, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 1%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7408016760404106, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.762009032367637, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902956484309972, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282114976683632, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6212751974400524, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6152040433889454, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7953055802908919, train_idx: 124\n", + "val_test_size: 16\n", + "After train split - X_train: (124, 11), y_train: (124,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6276693216885206, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5892135871835031, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6835594876447335, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6903160239497323, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7664224421248536, train_idx: 120\n", + "val_test_size: 18\n", + "After train split - X_train: (120, 11), y_train: (120,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6371979359515778, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5102823409853924, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6250295694395986, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316153044627687, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7559741254302101, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 635256961.9998636\n", + "lambda_max (after 0.1 factor): 63525696.19998637\n", + "lambda_min: 6352.569619998637\n", + "lambda_hp: 0.7502397278423858\n", + "log_lambda: 15.666577928605976\n", + "final lambda: 6366611.431343954\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6803492048962387, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6985372965033974, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6060214442031048, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7354941780292825, train_idx: 115\n", + "val_test_size: 21\n", + "After train split - X_train: (115, 11), y_train: (115,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7408016760404106, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7620090323676371, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5711518856846368, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380418318959986, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282114976683632, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6377888402298703, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6212751974400524, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493252145186337, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 4%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6121538720566158, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511506709830699, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5932781837143811, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6497126432239109, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386395012189366, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7711750437540908, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6371979359515778, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5102823409853924, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7219975464440325, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316153044627687, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7559741254302101, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6803492048962387, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6541109261197121, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6060214442031048, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 5%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289300496377242, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7408016760404106, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7620090323676371, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5902956484309972, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5948585448988297, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7528898604726023, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6148696255029124, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6304555424660974, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7143144131832332, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6217755705712162, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160002972806791, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7399456543797651, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.7002090660791935\n", + "log_lambda: 15.155366086187755\n", + "final lambda: 3818491.801220309\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7711750437540908, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 5%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203594407579704, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6371979359515778, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6833820790945174, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7219975464440325, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549429179261052, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5977289316279413, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 6%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7559741254302101, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.693802642527731, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6500644940425238, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6191493810939149, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5957596924334775, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431624887229226, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6128273715811278, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6644202709288703, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517799290732407, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 6%|██▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493252145186337, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5901786933126509, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.684629556354691, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160002972806791, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 7%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543987443667343, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6100477664190741, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6879118506108848, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562755425982836, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5781189495332903, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381191610487177, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469006717595306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5977289316279413, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162254793173247, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7559741254302101, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572528846489471, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6088408227315469, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048674416946412, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5735658772612895, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5922542482561598, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025461741083439, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.5020262580316179\n", + "log_lambda: 13.360809324138804\n", + "final lambda: 634637.5478591728\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.595678522182461, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040301892167403, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6572156542254186, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6500847624709478, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6217755705712162, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6156253388252286, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545092249071952, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562755425982836, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5781189495332903, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976574, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.655012111278173, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5049923026786975, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5781466824612718, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281132996272029, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572528846489471, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5736279469725377, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.563289911395395, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5811868947735346, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543953659985704, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 9%|███▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529692705895263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.595678522182461, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493252145186337, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372043168724406, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094149039688889, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162326978486074, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601648566833288, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.618382771762729, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562755425982836, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6236288276310809, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976575, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464617086984019, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187610176712198, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188182588506847, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.807911094289229\n", + "log_lambda: 16.170307458183444\n", + "final lambda: 10535988.787364978\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5730929153642758, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 10%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572528846489471, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5640200420732675, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048674416946412, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431624887229226, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5699363577167871, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564668211870495, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055893142610668, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5825228843727984, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5779652344249645, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227980642373441, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562755425982836, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5899299762874614, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223727199374061, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6077556911984828, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371250807378828, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5977289316279413, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5865016499517219, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211695404552695, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572528846489471, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 12%|████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6174600157698423, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048674416946412, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6711281751707658, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6752634929849373, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5846099626216182, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492429288989462, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5607120066510619, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6658647138997525, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5690122989922067, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.7002090660791935\n", + "log_lambda: 15.155366086187755\n", + "final lambda: 3818491.801220309\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562755425982836, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6919077544813544, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6176374128907359, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976575, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5977289316279413, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549205613737845, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5087369346918824, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6064746704330038, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7184391282740229, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595262033765211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 13%|████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541363208263707, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6852381014462823, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.640413436351087, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564668211870495, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5202240936821764, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108915812461435, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036675315256021, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208913367582947, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5852576619954056, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5899299762874614, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6312506534722215, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 14%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502512064278187, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976575, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5916470474101297, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.568233920566991, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211695404552695, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 15%|█████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6780105090901761, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.572528846489471, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540662443373656, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6115907099746964, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524628785459463, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.763632201811119\n", + "log_lambda: 15.738330570920883\n", + "final lambda: 6840220.807807473\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5131197248953174, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493252145186337, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372043168724406, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 15%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5836009650282256, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516260690830631, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563834991197615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.612449652745703, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5710787512559297, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5883356985385434, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5377818290696378, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.568233920566991, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211695404552695, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6691959401566099, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6780105090901761, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5704069431018323, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539194353272338, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 17%|█████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6124920705870134, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6044579677381071, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416732915369269, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5833844835766601, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372043168724406, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6424850710844734, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5704506905513888, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.664719815139295, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5886275892490617, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.625042819658122, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403307972610791, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564221455386086, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374137745700565, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956830568064583, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.568233920566991, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5076430910506952, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211695404552695, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 632944695.6371471\n", + "lambda_max (after 0.1 factor): 63294469.56371471\n", + "lambda_min: 6329.446956371472\n", + "lambda_hp: 0.6921929264759423\n", + "log_lambda: 15.128300598577376\n", + "final lambda: 3716528.525844661\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6541921548871084, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382745375792954, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6032877388523237, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5633575964638955, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5767440308152929, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5554487540447416, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6413584414429319, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.584271754546057, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5076269458957066, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135989804818148, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5355726726900039, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001436898467958, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114627823451707, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.573277499450096, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304425037619319, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426913480816022, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976575, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6211695404552695, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031776348779053, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 19%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6780105090901761, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5704069431018323, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6478586539388071, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6197025219229713, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 20%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6033561833939202, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5882786209223981, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5701637198426205, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.564668211870495, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.58538015675741, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.599446327106194, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108322589459513, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5904442218451597, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5775083272645716, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613529689840464, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056343538461527, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.850998369407786\n", + "log_lambda: 16.57378080351517\n", + "final lambda: 15772536.722966311\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6381870418521849, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073617959219969, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062745832736049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 20%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526740703256958, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332249615976575, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5644181794330548, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 21%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5715266401713295, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6780105090901761, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5704069431018323, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420276972252425, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632730833212268, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.568582766502473, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5640009141679995, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251940384080398, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6433145332135625, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325903231135608, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6143009261452643, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 21%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5241602524099027, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109559736099218, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175913426673271, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402768275011153, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114627823451707, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135261486352027, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062745832736049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373762193939707, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204299189794717, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5642367848423635, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120488171733326, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6085185864587539, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5755962845690255, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5580441536043856, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6150295355856905, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5081659326156621, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.58908317384735\n", + "final lambda: 2167496.0686148577\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5377048385241365, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108322589459513, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5299184838297234, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5699108358672671, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5111326523207256, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052952562819832, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062745832736049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371690167735883, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524399229643484, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162928541150653, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5861540328217115, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5310696100674667, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5212411391977206, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300055459053578, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435147962652068, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523650236249515, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6226227613326542, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024904950010092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114627823451707, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5199600916398238, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006856912905737, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783445\n", + "lambda_max (after 0.1 factor): 60128803.23783445\n", + "lambda_min: 6012.880323783445\n", + "lambda_hp: 0.6560692647555503\n", + "log_lambda: 14.744280403919163\n", + "final lambda: 2531393.2578242435\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.519110624278161, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5184816967104527, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540637085266431, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5671590183816965, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5173553873274683, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023525343104087, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247855813307786, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104863654439131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5087521345419448, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114627823451707, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5202352199999892, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062745832736049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090634637447553, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 26%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254615539344755, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6073612042095591, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088651401810282, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420276972252425, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6289967522242577, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175265677066067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090596555623862, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5100763518175582, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327543149831817, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559592587527205, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155407398525539, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5198952193779495, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5100316846638122, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.47323136691080026\n", + "log_lambda: 13.091896442324936\n", + "final lambda: 484996.2521310592\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5495151653647211, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062745832736049, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428232670044802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118325272488258, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5292763106679076, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471386351645868, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024922609047924, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493779246640509, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069498489890459, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520471575629559, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285934555605313, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511193197675714, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282499205790618, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551548624795234, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5248630146498691, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166303292446923, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5153569619848004, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369081307623869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155407398525539, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509075174778133, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451602983168965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5089679376594719, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 29%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5338636141612356, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033133697072214, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229820501473583, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404676497618716, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346963659670014, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.510882131690738, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511270661890392, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5089359280076642, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.58908317384735\n", + "final lambda: 2167496.0686148577\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068088342533248, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 30%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195137716285991, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001799345907301, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209067190764386, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155407398525539, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 31%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509075174778134, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5180136790823633, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534816413950802, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480734618157608, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221960834153879, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5687293704387335, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5244941055663126, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663659449980467, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032903341665054, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296097461194937, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491991844572238, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204715756295591, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422737989684322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5101612828481054, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152432215815131, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056309893881002, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5929559422274172, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177289414133772, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5598729567491629, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369081307623869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534068425468481, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188080063273576, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5206146846142695, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 32%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668106813830557, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120426764828843, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5179183957812196, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.513100414999687, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.6560692647555503\n", + "log_lambda: 14.775895714371693\n", + "final lambda: 2612702.578795617\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325359773451573, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026280896098066, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346963659670014, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5684877009471627, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5241446816194963, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178848433076892, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 33%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190130807807072, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 34%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436552691096511, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509075174778134, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030896026327927, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147465791550688, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5043938968309725, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5851720282986956, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431008168288848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522532588402811, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5292620909896372, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5653091974631874, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369369517963194, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294537808311099, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346963659670014, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 34%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127954845555878, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 35%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527945151132042, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227881882114418, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120657111760155, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5200029578524418, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5106999278765121, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526347151826667, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5226911338722835, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5212143949786195, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.7289553536301294\n", + "log_lambda: 15.443098212391657\n", + "final lambda: 5091577.247794491\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5103492369153403, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549228142849974, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037279361749417, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 35%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022343065327943, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5292620909896372, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220987404281546, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268356460445229, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5215358336729634, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5368592647715991, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575341813182851, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.522533087084553, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506321637726692, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288902254117755, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247172691046206, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015213267826687, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 36%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152709597243302, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5852137764840831, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098325778077103, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5153876639133267, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378627266293069, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 37%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5077208297355237, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030896026327927, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5772914749018667, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5180182462116462, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5145153022091142, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094697590458552, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161296493647057, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149703401609608, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346963659670014, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221358254062725, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5558441023672754, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5631100234945747, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.7808876076398021\n", + "log_lambda: 15.897258731859637\n", + "final lambda: 8018474.356305774\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288432868894731, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069961068867661, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540181766630594, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161277716741963, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160914997709402, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037902062129922, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007386261659508, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317005927601405, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378748391384772, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211843649807051, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51644702897449, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325738969593433, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086547288233272, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502266043265676, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5234011026070428, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055099692924598, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133651948289024, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797141637430624, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613947738738017, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070282568451085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349324755431132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528224075580568, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323774250827261, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 40%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.513522741147777, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.524432802283252, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509075174778134, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507011247523229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030896026327927, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069054320871395, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093937424612262, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375605165737565, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149794460351675, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5684414171830824, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 598933090.8259047\n", + "lambda_max (after 0.1 factor): 59893309.082590476\n", + "lambda_min: 5989.330908259048\n", + "lambda_hp: 0.9285853347044607\n", + "log_lambda: 17.250321980464676\n", + "final lambda: 31025561.291064166\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048097142208722, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 40%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5763763844076847, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5293638518909063, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204335964064758, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245075699788265, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 41%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069961068867661, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369081307623869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6181362031152756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509075174778134, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5180927470206949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030896026327927, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5155922728391672, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 41%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50683107484075, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6043869605176838, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502266043265676, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 42%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394466722211104, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119744601661955, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194057082065131, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5164468269815891, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069961068867661, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5039161780331213, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369081307623869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225746580482429, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516218059529083, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.520667819393718\n", + "log_lambda: 13.524699126834665\n", + "final lambda: 747656.6494960932\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139244679857213, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030896026327927, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059107002153482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002326031515231, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129871970625852, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445230254027733, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351057336194428, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502266043265676, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5102757085553686, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313218904837179, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5180690025174427, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5163645259020642, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5277111548965536, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502631049765689, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014574264412821, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528461061009156, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369081307623869, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332014850316251, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225746580482429, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516218059529083, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233921387473817, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 44%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052288191559574, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037236726664962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152892165695717, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 45%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502266043265676, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527717202487116, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5016093192648998, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204715756295591, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074871149121187, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517729813532021, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5153523162128056, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.830276349581249\n", + "log_lambda: 16.380402260826106\n", + "final lambda: 12999250.511809763\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556689608629539, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502631049765689, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075769837216358, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010675712940992, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307301270922514, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367355254920467, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423459707825029, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5308069847806267, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229703546824365, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5169495254839344, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052288191559574, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332183053315405, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085198902303804, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008738691379164, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399678770779874, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204715756295591, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 47%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416837867750357, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5199348923233712, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194714931844792, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 47%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138320436583779, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083701192409111, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139244679857213, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203648054783957, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141831325553279, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402381849508384, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074797433385139, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783445\n", + "lambda_max (after 0.1 factor): 60128803.23783445\n", + "lambda_min: 6012.880323783445\n", + "lambda_hp: 0.6560692647555503\n", + "log_lambda: 14.744280403919163\n", + "final lambda: 2531393.2578242435\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5248450018515933, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263967367604024, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5310491908198839, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010210526910769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 48%|████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379859255743547, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346254901772842, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133570234649507, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235708328535673, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424412694066564, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023471843452987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5116414825686688, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085198902303804, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008738691379164, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152767122998655, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 50%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.518868431882511, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5164695884167315, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364953070943101, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005137967866522, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069485856507153, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052970511947962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083701192409111, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099212349391793, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5202849001793759, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.9127090354852793\n", + "log_lambda: 17.13553216688141\n", + "final lambda: 27660948.275197938\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139244679857213, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294247748334666, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5116513123571471, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474146847969465, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5123268570741196, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 50%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085198902303804, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008738691379164, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311276526515749, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009881313299249, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175034385017553, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070806055788719, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048527115562287, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465431005888927, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260646968012946, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219124878411859, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404023456931403, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083701192409111, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300645458984959, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036994472237033, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436974848813718, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5196754427257161, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526652523677781, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085198902303804, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008738691379164, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037056864442084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 52%|██████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5116704956090514, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034738281917042, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247995273609425, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068437268448178, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070806055788719, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5606216989363457, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5108048229228986, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.617339578989398\n", + "final lambda: 2229615.21448451\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055471065864814, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400478452479309, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052970511947962, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283427041470287, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 53%|██████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009773769532615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075551073797074, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5222536208560731, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018894141731038, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5050556057957436, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060116921884725, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194849129991372, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394480109257275, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5217800298712099, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218127796848779, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008857858517153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009881313299249, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070806055788719, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017740022406738, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5089219054650206, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055471065864814, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 54%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007934056018637, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349704984882581, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036278343385054, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 55%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126625656470528, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5148373589895721, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5267774539024438, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008842213440408, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002354915672903, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344640946947019, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044908792216932, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431337163773198, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380807848714363, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008738691379164, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5618340613203249, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783424\n", + "lambda_max (after 0.1 factor): 60128803.237834245\n", + "lambda_min: 6012.8803237834245\n", + "lambda_hp: 0.9461799676063956\n", + "log_lambda: 17.416298722728687\n", + "final lambda: 36627091.252972536\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117413202212673, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5265275773649887, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009881313299249, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 56%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132567734459446, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427881045621834, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001089229003848, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5065341471366755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 56%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424595002771151, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052483142339732, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024472878519656, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5276381449981737, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083701192409111, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5122796631972248, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019190258440708, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438579678577493, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021864686882122, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147517931890768, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011172850309772, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532401952522872, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 56%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5085754809219349, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380807848714363, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014783098923072, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 57%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5129692117809577, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535901894207007, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008857858517153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009881313299249, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5312592631468237, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506288295928797, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075062085505626, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055471065864814, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024472878519656, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001221418646289, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070913203249094, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012699790045019, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 57%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020816431299844, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.7827060397344276\n", + "log_lambda: 15.944785202428328\n", + "final lambda: 8408765.25438082\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440210700175594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348164139508021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019171893904542, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5268521987308307, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020919780738106, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014783098923072, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128483467857127, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008857858517153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009881313299249, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5121582293376782, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026516916119156, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027759331661273, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5089731934518753, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298881, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024472878519656, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5275096633546806, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135397614494148, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5286004937269143, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024267798839441, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118325142916503, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424838730528723, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036994472237033, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335254978027544, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 59%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178815042524768, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380807848714363, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 60%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014783098923072, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075096991574929, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007572568517222, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506229856984995, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008857858517153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090896073407927, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005387031814725, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150275362802813, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114549605206833, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.617339578989398\n", + "final lambda: 2229615.21448451\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5292032364468519, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531528550033691, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139552084848058, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261993452894933, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 61%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209309829728913, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093982502439772, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5269190624364478, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419421653324444, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262021101232895, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178815042524768, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5083148124050119, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5097647361652292, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500054382989386, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013893234957074, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012383263746498, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516733386864669, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008857858517153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002872169023169, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5146910484018011, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026516916119156, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227355833128134, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521008233676456, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263049374808507, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024472878519656, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004376019039024, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011683113152416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020178364899146, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.512305078244562, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036994472237033, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052535512135503, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5257271520802301, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5112259187748672, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5049894949069027, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380807848714363, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 63%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500054382989386, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5206220621182015, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.8100095801372561\n", + "log_lambda: 16.189635227109548\n", + "final lambda: 10741606.610048747\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263781388353812, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028452864414166, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022060225714055, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51009298868229, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093410936199483, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118108039249957, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362124253986081, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070771417735046, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5050686398776748, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024472878519656, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017044511803807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020364549195795, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 64%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5265995128163319, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011683113152416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069023738018802, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017713534249844, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024685637483064, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072746924765851, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5043485691796887, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010132052275155, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104541783078974, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500054382989386, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001061606043748, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5143851800947045, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5091223452522391, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084851847647914, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296095349128584, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095456991151436, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 64%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502000361722245, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078987272819202, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546118127040439, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5259486254703385, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.519556954514534, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425458406958272, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011288851398643, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282142349572584, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5097096756880799, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022544107556317, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037193931342661, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.5940664945239517\n", + "log_lambda: 14.207350783425056\n", + "final lambda: 1479701.2739252255\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036994472237033, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011431920331987, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500049373186706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 65%|██████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024685637483064, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022378822561675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5053988724524558, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008382339382803, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5158246237570043, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358613960538191, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001061606043748, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5058065084770127, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5097039025531375, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008203777146473, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022060225714055, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126772747836267, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380111613272824, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160647097295936, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359487772700834, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007201943058266, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048269825573977, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 66%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011683113152416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476952093811924, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036994472237033, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017713534249844, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372650036274487, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020104044575576, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5286490315890465, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007441424377039, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001061606043748, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030070503571701, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322708649743418, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5067756193487027, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5071743686421449, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416386957942726, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461347201113006, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5165415498410397, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.58908317384735\n", + "final lambda: 2167496.0686148577\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168448093031449, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506012625141792, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090464551261853, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5062646436670863, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5238436553689325, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011683113152416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412384117754002, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024685637483064, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 68%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5035188590225619, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025359607633434, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007441424377039, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001061606043748, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285150046141079, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020221650695111, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317521972843359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090671189994423, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024079794127272, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046068064428876, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410542139404569, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120012418773963, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50794230496927, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5104697841988932, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450395013487327, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013154280787789, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 70%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5177550737485903, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516904874471667, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327742675512839, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009681837629765, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024685637483064, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006156859113686, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397525914103172, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5269131486139905, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007441424377039, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194095138424241, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.5938214195815043\n", + "log_lambda: 14.19846868399964\n", + "final lambda: 1466616.6157302766\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358062679633965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 70%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020221650695111, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036529551432218, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019623203548439, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160647097295937, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 71%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5234043848724288, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550280949779771, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5286015951751168, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098752214563549, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5122610770576581, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378153387285042, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502263632870671, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024685637483064, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037761426737787, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056825286109192, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030094536046361, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501033017959744, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021657075387587, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020221650695111, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022060225714055, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098918776078103, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026516916119156, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288686285354675, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5123907944595524, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021171654803234, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094374181602972, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002582713716769, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041581655323755, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.39707215129408635\n", + "log_lambda: 12.392965830924094\n", + "final lambda: 241099.7026647733\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5064291131862839, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528119132779154, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020104044575576, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376171550769373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014944355461266, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503484416708109, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526556784741166, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 73%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020221650695111, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022060225714055, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026516916119156, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160647097295937, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 74%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189951507114893, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5101100436755508, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038688130190245, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133119698219981, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020769133432352, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005540313574843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5330414801501654, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453711828236861, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511308830823684, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020706029144878, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021224819652879, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000703458713531, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501089663551478, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 74%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385940019931785, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295292221911192, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007441424377039, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013137766880635, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009812537461689, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005150758422351, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5092525250565011, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024667388893422, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042167230337946, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114985928623857, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.617339578989398\n", + "final lambda: 2229615.21448451\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458358241647122, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013690765539681, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007256692093961, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005540313574843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538494554435166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 76%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5132920930956899, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014829466394133, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228950917315961, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005807730632609, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5267268666963093, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025355886586024, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011217530721821, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397339357776874, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009812537461689, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015349980135776, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012185370150146, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5096004490999212, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022008612665748, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042167230337946, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5312686679143436, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264079220298882, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038688130190245, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028270431333001, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291748983013848, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005540313574843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037338654191907, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294817592835878, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.511308830823684, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004644032895089, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019031804359583, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5035739312914426, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5076999543188938, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017373050110798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5124368455577112, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731811\n", + "lambda_max (after 0.1 factor): 62060163.42731811\n", + "lambda_min: 6206.016342731811\n", + "lambda_hp: 0.543402599429694\n", + "log_lambda: 13.738197378145028\n", + "final lambda: 925599.9289911399\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294781600358205, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501890629795997, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5274637689720695, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018521765231958, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042167230337946, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084789964472265, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5165239588319722, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291603796715443, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007256692093961, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005540313574843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057534690343576, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119224777352112, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020706029144878, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.519837586319796, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044671217349006, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.50143914488254, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5004608330076751, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025694314797894, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009812537461689, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 79%|███████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5064609136716365, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5407349860166017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030079545208973, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5144085601974767, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028874233283888, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007256692093961, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147186565729639, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235265166881125, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057534690343576, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5298869195216034, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.635824724283078\n", + "log_lambda: 14.59313873956312\n", + "final lambda: 2176304.3405497186\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388727973989573, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024192606192266, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 80%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022819859229396, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012116583536323, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046516356194576, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 81%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126574665729923, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033506595325441, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042282884045244, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5221122967571623, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113806480712613, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009412245577018, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030079545208973, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5140918430669168, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5494513464816984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027109924327686, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007256692093961, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532816543133498, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 81%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033289683730084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028879432343107, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 82%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002038104208173, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023799029517387, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501163287458833, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020104044575576, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045316945191527, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502997878357752, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001191263032092, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086201389367749, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527995855334132, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030079545208973, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125534439947464, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 620601634.2731832\n", + "lambda_max (after 0.1 factor): 62060163.42731833\n", + "lambda_min: 6206.016342731833\n", + "lambda_hp: 0.6388542510884412\n", + "log_lambda: 14.617339578989398\n", + "final lambda: 2229615.21448451\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028874233283888, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024219907454414, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006565893833002, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033289683730084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 83%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 83%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036647517338839, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014010837373797, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022778922911226, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037007355632277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5055069930656676, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018521765231958, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038938170253205, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137753663072047, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430501596703199, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000065594287499, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 84%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024219907454414, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014521903452203, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506696176353704, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041841573597712, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5003602788693722, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150373703646951, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5009852632406018, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288660181221312, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011591208446095, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5080229547065518, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5035906708552523, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032895982180385, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.2143039781289024\n", + "log_lambda: 10.709608746908467\n", + "final lambda: 44784.11353444626\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027664502557674, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441669950387316, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 85%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118616110477543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031088491840523, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024153823854315, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510506873594027, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5095090123799346, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034380419385727, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006117585313615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036236752656555, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001070528278774, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5139195489012652, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228628174273854, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.508481091270781, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012291540828615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.501670519411807, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.508411163285623, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006079510276664, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 86%|██████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013680362387076, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028659010998235, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014001917349424, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013376914400633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5015244731793745, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5105440174232307, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5100229163666208, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 87%|██████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028874233283888, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002589052101327, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010430732513418, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021395622215115, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040083738981019, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033289683730084, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036272526695802, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030335015335539, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.517900134960152\n", + "log_lambda: 13.507013133673462\n", + "final lambda: 734549.8441835163\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335549423643683, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012849006520633, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000531166121511, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031187561832302, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5046757278668024, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014001917349424, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526506685028774, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5253104292029598, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090111051332225, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018521765231958, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288561839169492, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047796109842262, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5054869254869954, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5028874233283888, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224745296858387, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024989027045996, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033824856966269, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088487978130241, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032686359153326, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 89%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013532241218365, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316877100131234, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 90%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006765753975354, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323103585557716, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013146664572706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532327928652517, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021558660699099, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5277942572840594, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515192270551272, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018521765231958, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024153823854315, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011941702131171, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.4243626962123439\n", + "log_lambda: 12.645501485283276\n", + "final lambda: 310364.12541800825\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027265545783923, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020165718786178, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5003807952166104, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033824856966269, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068900310930988, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 91%|███████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024383066806628, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024137832484349, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010166568096979, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026276586720855, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029554938571165, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013146664572706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504723494670706, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.508751712801203, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008413997944158, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 92%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024153823854315, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013207392273851, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027265545783923, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232948789889585, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026755149621775, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002935707937902, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266459450127445, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 92%|████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449007991398598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013532241218365, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 92%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026668847088636, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006765753975354, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024020284251771, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.3650579289710521\n", + "log_lambda: 12.099284393310157\n", + "final lambda: 179743.19079037872\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014001917349424, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527439786589382, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033531206959911, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024153823854315, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5557940275177498, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007183209496623, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504167930927228, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5027265545783923, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006117585313615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5038283467236011, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504534856267782, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 94%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033824856966269, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5074553476277311, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023443750173843, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007570281498099, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437982450834729, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010854386989501, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084909167165377, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033274111195126, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014868401089971, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502870596766226, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229061175012026, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013146664572706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011131682445741, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012973223916939, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400684295564288, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5010231835989714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5226242148674578, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5021102065662433, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013207392273851, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088027288584482, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013330010650192, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396682809286848, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025919026515596, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332562725864848, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045153271143064, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020573515270159, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.5519993203239667\n", + "log_lambda: 13.821078237281306\n", + "final lambda: 1005583.2076490684\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078211036912817, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013532241218365, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011532025333313, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018064092338347, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020213040576395, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500829343608056, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006693705000165, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014001917349424, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5408254459560929, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018321839265419, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5075933021429249, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500238987706153, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025813505232732, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546949578192999, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013207392273851, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5037454756813481, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017006322376416, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006117585313615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.523335204570789, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5033824856966269, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012490054346714, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 97%|█████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026658613258163, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013532241218365, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011532025333313, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502882859930914, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5234162800735823, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.500829343608056, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013416122923452, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014001917349424, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324300841661728, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5025529182596652, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5003779923497862, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008456465267119, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024153823854315, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125145377173971, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005275004378886, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622903442.6182985\n", + "lambda_max (after 0.1 factor): 62290344.26182985\n", + "lambda_min: 6229.034426182986\n", + "lambda_hp: 0.19800194109090655\n", + "log_lambda: 10.560641883757288\n", + "final lambda: 38585.88765294872\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013835257224624, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011670858959397, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006117585313615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031349031126202, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020308503638893, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012886333467201, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011495585825594, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019855956544238, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332027687657424, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5020573515270159, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019846470265471, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5029710713711798, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022425928942817, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5016651237739979, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5036482212799, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271098249605931, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017337254909845, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5005955955688591, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013146664572706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011530183490472, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5273535646325637, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5026604416337399, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014414970049308, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5014451157861994, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400598628819105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017065272863603, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019881780508932, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5135002294734792, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013207392273851, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5007246148770073, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503346322114729, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5006117585313615, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5330015497554348, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022118692017509, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 100%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012886333467201, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540530708252179, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018013371031189, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5087774813649534, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443107856973144, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5012108862340031, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5237064043792863, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013532241218365, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285828920537103, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022361830570384, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 3 of total 5 trials: 100%|███████████████████████████████████\n", + "2024-12-04 13:24:11,320 - robyn.modeling.ridge.ridge_evaluate_model - INFO - Finished in 1.66 mins\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5013619907722022, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5002923037484388, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017337254909845, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001719432746612, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7454595155134875, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 645369934.316059\n", + "lambda_max (after 0.1 factor): 64536993.431605905\n", + "lambda_min: 6453.699343160591\n", + "lambda_hp: 0.6544381853273361\n", + "log_lambda: 14.80000722623619\n", + "final lambda: 2676464.3958830945\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.656338085770401, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5560180906909785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6915186736234453, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 0%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242295056814715, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.703061330156871, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7142035633576231, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6560461102625695, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6404376206644002, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7265789935042841, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.689771717080959, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7215117827376545, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5842252612636717, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5657789354796108, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7416459025731709, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5800348035327916, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410035113795859, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6295648407285677, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6722099479080186, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546069975693304, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6425479894751989, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6292864362693225, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6155907732118256, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7480283188248142, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6254350402769362, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7838416017471013, train_idx: 123\n", + "val_test_size: 17\n", + "After train split - X_train: (123, 11), y_train: (123,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7454595155134875, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5560180906909785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6915186736234453, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5985869846181447, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.703061330156871, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7142035633576231, train_idx: 112\n", + "val_test_size: 22\n", + "After train split - X_train: (112, 11), y_train: (112,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6519307909890759, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7431128673999124, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6497828485602963, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6153273154364516, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.758243805031358, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7215117827376545, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6980142320970564, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7416459025731709, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5800348035327916, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541003511379586, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6295648407285677, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.583804\n", + "lambda_max (after 0.1 factor): 61563324.5583804\n", + "lambda_min: 6156.332455838041\n", + "lambda_hp: 0.20879091368778668\n", + "log_lambda: 10.64827188031283\n", + "final lambda: 42119.743661194385\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6722099479080186, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546069975693304, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6292864362693225, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5931294747113718, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509183036033385, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617160989418105, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7454595155134875, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5560180906909785, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 3%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6915186736234453, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537302576437351, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.703061330156871, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5809846690705655, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 4%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7126617726018639, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6012423055723571, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5865628436693763, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.689771717080959, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7215117827376545, train_idx: 113\n", + "val_test_size: 22\n", + "After train split - X_train: (113, 11), y_train: (113,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022606745316278, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.729238429102038, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175776531957529, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.62714015268947, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404450226896851, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6722099479080186, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546069975693304, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5906369473042083, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361255036693747, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 4%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509183036033386, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617160989418105, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6065782193515731, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7454595155134875, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5050370610361636, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6068637617691957, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5709164967851875, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6215138155608033, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6015790418197676, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5991877779111888, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6497828485602963, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 664591381.4302444\n", + "lambda_max (after 0.1 factor): 66459138.143024445\n", + "lambda_min: 6645.913814302445\n", + "lambda_hp: 0.9683368542425167\n", + "log_lambda: 17.720469503077116\n", + "final lambda: 49648041.57559106\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6085480032617068, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6167491934192347, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5836602324094791, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550461060607081, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 5%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7416459025731709, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175776531957529, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.607089634609069, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404450226896852, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6722099479080186, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5778495854414494, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361255036693747, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125336505289154, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617160989418105, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.637657234210326, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7454595155134875, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 6%|██▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.580612207235059, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6127687129685735, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 6%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6215138155608033, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6015790418197676, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6301587447067065, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6251215810291149, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 7%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6085480032617068, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6167491934192347, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6072473707192954, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6702821860899673, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890065400545071, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380538505108176, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404450226896852, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6118663720588134, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546069975693304, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361255036693747, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125336505289154, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617160989418105, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.773327264024176, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 642218377.7337896\n", + "lambda_max (after 0.1 factor): 64221837.77337896\n", + "lambda_min: 6422.183777337897\n", + "lambda_hp: 0.7675685664426802\n", + "log_lambda: 15.837081246845568\n", + "final lambda: 7550174.600452582\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6621081039566644, train_idx: 103\n", + "val_test_size: 27\n", + "After train split - X_train: (103, 11), y_train: (103,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6068637617691957, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6127687129685735, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6548718758464736, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5878384512134431, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484968228273581, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.582233553170356, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6020698992550032, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6285818567831951, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7416459025731709, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175776531957529, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541003511379586, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168812770950096, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6118663720588134, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546069975693304, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.571478761083542, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361255036693747, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5123837007921033, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420751320097069, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6984695167299189, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251729560254333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.773327264024176, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 9%|███▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5817972281816187, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6068637617691957, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5719266217471631, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6215138155608033, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385506577583286, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451993600887293, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.576230328657091, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6830327243880783, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5592640776693595, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541003511379586, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394118613033067, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.4080831395415762\n", + "log_lambda: 12.483821113914987\n", + "final lambda: 264030.8189903877\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6118663720588134, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6003181306515286, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5874563056759846, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125336505289154, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5991297093820693, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807657256543531, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7428608375570153, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6285993345271872, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419529299487977, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5719266217471631, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6215138155608033, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5884126146041404, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5867518450086308, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.581091736561681, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6107677855876715, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6529325873289974, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175776531957529, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434350377194259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6130981914932155, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5907957802777538, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514307139259201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807659181498868, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6508928255463462, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125336505289154, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 12%|████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513745209887907, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7008785609162587, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5652986431287071, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561450500160964, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5926856833795069, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5611833374495819, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138210087672793, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5836222140248014, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.5183766740380641\n", + "log_lambda: 13.483920215754225\n", + "final lambda: 717781.3073378468\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6111004174980115, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529265580354928, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.596132353114374, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5830661589135616, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404450226896852, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.586823926826275, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514307139259201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6088191113303213, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 14%|████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125336505289154, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513745209887907, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807657256543531, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5495159484298902, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5670608604370877, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5755068302312819, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5926856833795069, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5611833374495819, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239439782934511, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6731604182304358, train_idx: 105\n", + "val_test_size: 26\n", + "After train split - X_train: (105, 11), y_train: (105,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5836222140248014, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193521274178603, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.576230328657091, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 14%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5830661589135616, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5956797409584048, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 15%|█████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079025075606171, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514307139259201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490068503495941, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5087068927896179, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507914630818477, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513745209887907, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807657256543531, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837705\n", + "lambda_max (after 0.1 factor): 60331109.76837706\n", + "lambda_min: 6033.110976837706\n", + "lambda_hp: 0.8397387738095796\n", + "log_lambda: 16.439298003571018\n", + "final lambda: 13787845.53324115\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5879080880974853, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 15%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168555808425581, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472126035218768, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5778382448133683, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6171763543523131, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482465625344906, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 16%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.576230328657091, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365463537869981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5838918849916177, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5181264359695518, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5751937399881035, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617704979572439, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527580258809896, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5908450559067033, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514307139259201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807659181498868, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5751926299569357, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513745209887907, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 17%|█████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807657256543531, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147684516844098, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151940817008207, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6379856695464636, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5031677610677101, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5767413697856826, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5505524418224758, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472126035218768, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369352247415912, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5187487304799476, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5664846705523027, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5040463665672524, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550102406077172, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5086177299537972, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5547590586672064, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.615279250720833, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427584551987941, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5938895811631705, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324856425137392, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536738326242533, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247823002414198, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.024072356201672033\n", + "log_lambda: 8.94695109284527\n", + "final lambda: 7684.4270037281885\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332139741436405, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514307139259201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410205203442604, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5807659181498868, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5751926299569357, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.581254012261838, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5620348311669994, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373597566483815, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5293865014174733, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.570360545076956, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419529299487977, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6299102668381287, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472126035218768, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5884126146041404, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363518203398561, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6037643504580609, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416438120605864, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5305818567638096, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6640097079540436, train_idx: 104\n", + "val_test_size: 26\n", + "After train split - X_train: (104, 11), y_train: (104,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373527028338185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5107845225828507, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220009637510168, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5751937399881035, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536738326242533, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348386223153389, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389543149004051, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5626507305402574, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162362412062178, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 20%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5969296601313497, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540064349430656, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.504311196669063, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373597566483815, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5726585102042359, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419529299487977, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5505524418224758, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5679272051807046, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5884126146041404, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.571555934879878, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6030347452695083, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.15326395129076906\n", + "log_lambda: 10.121107765112667\n", + "final lambda: 24862.29717132014\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5305818567638096, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5872035275566848, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373527028338185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 20%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5936398226194978, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708457714551727, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515479700715721, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 21%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536738326242533, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348386223153389, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5228635481406684, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5099850409377397, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5236824274650614, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502302458494687, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251966473688717, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540064349430656, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5298465668687011, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373597566483815, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5118872531060654, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643495007983567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419529299487977, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5234400532100326, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5196880884099387, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5884126146041404, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475639835089489, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5877073538758295, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546282418414484, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373527028338185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479833895166789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5751937399881035, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141183245533705, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412392006393976, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348386223153389, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261596757418121, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5626507305402574, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393400471879581, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5641315378466758, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5612715289593498, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540064349430656, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358571186924456, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 22%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373597566483815, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.341076449773117\n", + "log_lambda: 11.846448268514516\n", + "final lambda: 139587.6877118781\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596930800329211, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643495007983567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125056811549289, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465671043966045, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488206099006461, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5579085101158647, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579897213285331, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072653658049242, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546282418414484, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373527028338185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479833895166789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5790933212683623, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266526611527648, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536738326242533, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348386223153389, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52904736977655, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246750651084543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5157218056240396, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5641315378466758, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5612715289593498, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540064349430656, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5078267326493073, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5691389281357021, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115883943534915, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643495007983567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251855022831226, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.513152747950426, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329950939542623, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 25%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5954734488737748, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125562565752568, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5645440827244277, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263712888643758, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373527028338185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294177568707482, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041520614145889, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511316735136739, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109858225157187, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536738326242533, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783424\n", + "lambda_max (after 0.1 factor): 60128803.237834245\n", + "lambda_min: 6012.8803237834245\n", + "lambda_hp: 0.2547453229195164\n", + "log_lambda: 11.047950300186116\n", + "final lambda: 62815.070525429954\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384179374142203, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5165866813305471, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246750651084543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5877887161046081, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5880109435522475, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526114477145455, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561940280012259, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353256887094285, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5243084958676841, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406162439605585, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5592405080225266, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643495007983567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5251855022831226, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5059670077933323, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472126035218768, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542509840657419, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336772801206983, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479833895166789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5041520614145889, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109858225157187, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515739659177444, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 27%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5849509671529911, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402898272212999, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166590201583989, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555654491576338, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337846521967495, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5682841418727782, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443869979609598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643495007983567, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288406912342021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.513152747950426, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5127315539446744, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032353065782061, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5061735989627368, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.5129764325296243\n", + "log_lambda: 13.434182153370621\n", + "final lambda: 682953.567698857\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172382773467117, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126795273784824, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.503521176813692, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109858225157187, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233910279422034, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515739659177444, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509304314260499, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555654491576338, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561940280012259, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353256887094285, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5757052172338664, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220204530515203, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5547132697424949, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291029728683082, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5008984540484889, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340052913111308, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017142529429243, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119208111642817, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287907247857129, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5884363083142826, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5408396608005751, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5163122213701956, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 30%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109858225157187, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5107431726484274, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300468096291783, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060845738772269, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069854067502085, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245444904701814, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436578411358491, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561940280012259, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353256887094285, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5727059357115044, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.4032439533711539\n", + "log_lambda: 12.41903213672849\n", + "final lambda: 247466.90545787878\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094150698071294, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5105535226996618, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5165208282792444, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288406912342021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 30%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385194726629696, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331990698708804, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5579085101158648, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442342876137265, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5275410306029323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437026437554818, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479833895166789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550901436848733, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340611184392446, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175690198182948, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555654491576338, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283203491167333, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353256887094285, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443869979609598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5809321640271932, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220204530515203, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5709637384597154, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385194726629696, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5585503654065984, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5163414706870321, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388747230242927, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555071550748102, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555431, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676068608459776, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352886975755812, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340611184392446, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783445\n", + "lambda_max (after 0.1 factor): 60128803.23783445\n", + "lambda_min: 6012.880323783445\n", + "lambda_hp: 0.28544505507432455\n", + "log_lambda: 11.330705282660405\n", + "final lambda: 83341.78163522485\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018083741129675, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175690198182948, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5157239646883229, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5092854547410365, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482636157411113, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501439480516762, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424770225054026, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489396357568099, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5175002803564088, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5809321640271932, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436265525971175, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220204530515203, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284762830105967, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 33%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.570476693618692, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375916998512992, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152289663721532, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216656912917588, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5696376410165525, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534928085677019, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346251477542487, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432146798536449, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340611184392446, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208914367313475, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5684947735807497, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334016092823642, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5102591532152838, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 34%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568966839772626, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5068029717110211, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424770225054026, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54893963575681, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336525439000072, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538928022879391, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5220204530515203, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327904257471607, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375916998512992, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5214451981531855, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147612844746386, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216656912917589, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.4847984302943257\n", + "log_lambda: 13.194329844294412\n", + "final lambda: 537309.65406612\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348293763469248, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362776551884204, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 35%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5244995977337975, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340611184392446, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5684947735807497, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320131319348819, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331509525549979, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561940280012259, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409786326899033, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54893963575681, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395759106450176, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5258512415471704, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288406912342021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337925558551707, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375916998512992, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5279608952473427, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 37%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5585503654065984, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399650600631237, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216656912917589, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668037425310485, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263052331064003, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5134724318002541, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498794337771192, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340611184392446, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320131319348819, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542396827854461, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539490677054991, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486396766736711, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424770225054026, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.23180743053379416\n", + "log_lambda: 10.840043409208338\n", + "final lambda: 51023.592827987086\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516966479285944, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079229839011374, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356559435655457, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382318997464649, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285066502258278, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324010640729342, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5319792455512393, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5296028648168316, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5161418161139241, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532438051826804, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477585615118609, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401420724087562, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356940706238896, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480046090776257, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537230026344507, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5655853601946267, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320131319348819, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577781276453914, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573971429227158, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322022801822809, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515851756207298, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536278136798008, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5875445545668478, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484405266315615, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5692172600238133, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5299106857466652, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5557493556695879, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 39%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288406912342021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375916998512992, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 40%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5585503654065984, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402933914649533, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5136285851657243, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428729489394708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53839997217135, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430048773576306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.3466301774615716\n", + "log_lambda: 11.902076524590287\n", + "final lambda: 147572.74573255974\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443850594562946, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320131319348819, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541055613389758, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195766995772866, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447612689908389, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 41%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441766419357271, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5523821724472346, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509873352104538, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5557493556695879, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288406912342021, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5034040727224597, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5144646653807103, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5585503654065984, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073155527203335, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.561821584194209, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 42%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528137942065805, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54351775620402, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5503719188876012, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484931503872268, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128981085211765, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545577478246939, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5557493556695879, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384277592902095, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5168060526103283, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5585503654065984, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5824544464355265, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.47923693114881316\n", + "log_lambda: 13.133848435410755\n", + "final lambda: 505775.6322520916\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387376344702076, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386531194782447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550227027249845, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263181565498142, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235073050279933, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462697348860608, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391321472728966, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047763891737976, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5557493556695879, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5140680053965518, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311376758723426, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412948239417872, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402933914649534, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271740090879671, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5183653374918944, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 44%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469365350098351, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530758586293092, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315311072001211, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463454045827675, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547220842663139, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535260875113855, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53108718853613, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.40088935045335095\n", + "log_lambda: 12.401821976146511\n", + "final lambda: 243244.3995003746\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448504288135694, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541019147866592, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412696562498364, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507717644938587, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256675222009457, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412948239417872, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402933914649534, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5242992582642187, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245243565992185, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320849698218489, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362206617290182, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094502254396661, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482651062759892, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384030657540029, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 46%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5060749802972382, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369651766065447, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323736171919392, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320452859071219, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307369131388012, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5253817651136076, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5673581049872628, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5624487746030774, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5080430890945102, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419817433118038, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411867572317511, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.602446022413502, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344667770538323, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363026247994379, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225622560014479, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5162427974207033, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837684\n", + "lambda_max (after 0.1 factor): 60331109.76837684\n", + "lambda_min: 6033.110976837685\n", + "lambda_hp: 0.5177564639334213\n", + "log_lambda: 13.47373133585649\n", + "final lambda: 710505.0512020343\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393229812776121, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379590548292573, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188523882545004, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5067271452261277, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496149909122813, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354701994069848, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5070684612203229, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 48%|████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541019147866592, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528017274714243, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347027019528466, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446890705561199, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442491457575119, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5241781336325907, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376989717012023, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5583977906674702, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331755394615567, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5113629615506657, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385884858082283, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5339816601140813, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 49%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361940267587294, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358838774154391, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 50%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363087853938099, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5193907587489339, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535341320000821, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5309167798479429, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406625245438942, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5182520477464146, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402933914649534, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471417082623838, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.46140832770382817\n", + "log_lambda: 12.95922235558729\n", + "final lambda: 424735.69298451877\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5299293787655833, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 50%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5583977906674702, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545784527763882, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 51%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426865129559872, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526395691082057, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370673394479698, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457379559158385, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538515709154274, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390061755628738, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401114976780177, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397285928098139, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438726316026707, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537286404498871, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5482201215387618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5328275548547169, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 52%|██████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418136852704637, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 52%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560641728615164, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369352701369201, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.31918693126000275\n", + "log_lambda: 11.653879346121304\n", + "final lambda: 115137.15468298474\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382999989025753, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5269330228760235, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502614828844806, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 53%|██████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329692323937198, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534289414207598, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470707267192693, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457845277638821, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415875088705102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539789384000533, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403562475527602, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431007333236526, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5345093324048071, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5264095212013187, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5345771620356173, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389029930791097, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255193942690641, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5547932840832307, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5533892967679446, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5258472270846578, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5758913481395954, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 55%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538086149503432, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.502393004805223, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5706444971524429, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315664736693736, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.533023489602657, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5398219237505754, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317366519496285, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374049149406462, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457845277638821, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346385463490495, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.48407701030908595\n", + "log_lambda: 13.168008638166011\n", + "final lambda: 523351.5192260133\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423311376416291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378533580915992, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389477783401222, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5794628673942513, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540696446961906, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 56%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426452684529118, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5001144021397999, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235317171159609, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5205574155536765, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5407013096718484, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543435203814221, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5447798271336147, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467726041922244, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 57%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320618090893103, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423311376416291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5337573726001875, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399439845090995, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315219535791292, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422580228914317, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378301061954258, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373462676472417, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516679976517848, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496456411093859, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349961866995471, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431395191778436, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375907593834016, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.4408122892639036\n", + "log_lambda: 12.779944404979444\n", + "final lambda: 355025.32536857255\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262069105692228, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204651766741268, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364997078129689, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291149815302884, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5154187121009179, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5231033494226439, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283383762635707, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363001671365674, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393229812776121, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423311376416291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176287777353673, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5778828046328169, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5368316363789337, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406355767626246, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428517536600178, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517185675978745, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384765094437879, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401219058380092, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463095134061116, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400810759963085, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412175510527949, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434486286708116, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378589455306487, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536539962278007, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 59%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5407240042241414, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5072108925547302, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323255217548917, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 60%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457407726565833, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403964134642119, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423311376416291, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.514665056737515, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.27904302813948545\n", + "log_lambda: 11.279575874562294\n", + "final lambda: 79187.66926336706\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5560034313554925, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379077819045527, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379266072598087, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455758537293197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 61%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422083477479744, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539516475034779, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5663315393942626, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317960022684239, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410045972816934, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.517730670620926, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433187634257486, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457407726565833, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304211523850632, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375522, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5326019293683117, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375296516086355, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5357905464746776, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478787275157576, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53676072360385, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404984663069796, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.578032946061311, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5305792488854963, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5145341582048201, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360691469209922, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381948907838147, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 62%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384780490366704, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457407726565833, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5321734926932805, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373984645185178, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.24182233265818923\n", + "log_lambda: 10.941325060257288\n", + "final lambda: 56462.10929747594\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471758797945344, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 63%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5541688216341698, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5319380625221952, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 63%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5754206527398888, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359305533596859, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444531588086804, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453121809094003, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 63%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5184676733978462, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5333001714235716, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411355281464292, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5549207506103261, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349985708917485, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531185430723894, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272796223190642, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441279144321366, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457639796907208, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219786627558232, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 64%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325687953284419, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573721888075507, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416724355932065, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530928378267112, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542634594221241, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325340668987661, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373118565626173, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325791463727739, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.3735974792349032\n", + "log_lambda: 12.160873126574632\n", + "final lambda: 191161.35224816873\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324951987806975, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460768398310417, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551126959783881, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5302822192347308, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 66%|██████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457407726565833, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455616851264743, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5357099140588328, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617596397520372, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421266075276637, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516888406571256, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541022190156812, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472632979074287, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.534912125388254, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379140496142262, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256162054882632, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375809033988483, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401940097055168, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 66%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315603825121981, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315664633423247, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409971833245161, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5474315029883204, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311211872468119, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532079830524479, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430599045933461, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450336074261631, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438347075070608, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556271106792209, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395061124583745, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.40461034850193445\n", + "log_lambda: 12.440658094656833\n", + "final lambda: 252876.90167438396\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5542868913550948, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5341759210681569, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416969095337751, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316829910165132, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304687470643141, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 68%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419059813897696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396516227047577, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518452680353253, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417172746048283, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441884861190609, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260038013684957, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406943045930203, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456776103194876, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489227789771406, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388018019873321, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 69%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359166046356312, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411751610623406, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325291158022419, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466913065785689, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444098521706223, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.48407701030908595\n", + "log_lambda: 13.168008638166011\n", + "final lambda: 523351.5192260133\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5314216244573425, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 70%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498202354631719, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 71%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5501575166697215, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543811499375597, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551127457505215, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529804412135113, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546411545959998, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399008386281681, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456289542865299, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 71%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260978097391673, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325178369627219, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.554403389051906, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537388572195966, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490827746250495, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476219951666701, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5407646696787339, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291179582849272, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 72%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5330776475583812, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.457725691281362\n", + "log_lambda: 12.935722594408304\n", + "final lambda: 414870.87010008434\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468657918296435, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371895667764236, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271147790719354, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399110217527159, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5274154433034849, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 73%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419699423913646, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 74%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5172845830890725, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413812264024828, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354648182762535, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385668367524292, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491368351809953, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317806922786076, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 74%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5615660830736274, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.527345727316605, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462783729889668, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 75%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5271821720977704, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539188385781087, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462432170662007, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538901011788742, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454856225204735, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436010454341672, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402981201381739, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760414\n", + "lambda_max (after 0.1 factor): 60601789.41760414\n", + "lambda_min: 6060.178941760414\n", + "lambda_hp: 0.33647725225698083\n", + "log_lambda: 11.808564627684794\n", + "final lambda: 134398.51093871778\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457482120996346, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 76%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356212047098391, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387730895803315, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5437833295031308, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460269754376444, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353550292889613, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385733043545163, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415773468079981, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5405846415934051, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5536285202953912, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379140496142262, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5305390016138254, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446674502500332, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391390057402047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311986045388095, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446868692183283, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388188675629608, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416299646648252, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516988820244774, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400112860321439, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365062202656253, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.48407701030908595\n", + "log_lambda: 13.168008638166011\n", + "final lambda: 523351.5192260133\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5383116811647497, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550341813103154, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518651991003538, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329673819384698, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291693683383075, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409577027607816, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381514634821242, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385962602064157, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376594993007241, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356603793685499, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578182567420343, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371302539358566, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400452354707271, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323267767489661, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335041469513856, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 79%|███████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544642349128084, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324001140974896, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394158296362629, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415965208763482, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5392619375506914, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410612315434847, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382267180348227, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531336367978714, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390294933216614, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420124682897742, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349949078808672, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.38330748766016626\n", + "log_lambda: 12.25030560918606\n", + "final lambda: 209045.16523141065\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427524470741383, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359795683275105, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387857805336692, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478935964741347, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385367768670661, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 81%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382183502239882, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388893740689685, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427557049108296, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255901233600414, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451132892641829, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 82%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5383313254961059, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539063859028813, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378619717733236, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291568842920135, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559107056337479, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352202480068916, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 82%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760414\n", + "lambda_max (after 0.1 factor): 60601789.41760414\n", + "lambda_min: 6060.178941760414\n", + "lambda_hp: 0.22159806039350533\n", + "log_lambda: 10.750488168964628\n", + "final lambda: 46652.797343315564\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363235234121321, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5250813898924761, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.543593838855942, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394018709666119, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387179570117862, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5328213530546598, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 83%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370622577723915, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416942308332143, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362395217942856, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282323633340867, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381802088262158, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331812656929401, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354785707559662, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5309044688399467, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351644133282876, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284677078020097, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5332474375049949, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382541683318327, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354633918359454, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342217305244896, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547064978412512, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5322195979466758, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 84%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387812177750988, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538847296121645, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385630905987404, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371202562195599, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5450245053043793, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331975391984876, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5249425859608831, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.1619235771762085\n", + "log_lambda: 10.20086586701154\n", + "final lambda: 26926.49074354077\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287871699444942, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5343791832824495, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5357027745591318, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 85%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433102797557966, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535825451287662, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360656176586251, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390466826256494, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.524818680946273, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444416811329198, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373062133454103, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395765822896927, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329550278663768, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461980048145951, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334363361675923, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394744286219341, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353236421561685, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 86%|██████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445526878409197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411524079867732, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372922273614178, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 87%|██████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5495375187403541, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334865018130379, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369641368001126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391861327529028, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5317822609711778, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492529057789317, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 87%|██████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440620056088203, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5331468928803741, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538939306501475, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380406812003948, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5480219191524329, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385072559201365, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441702167895769, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.3573343872225986\n", + "log_lambda: 12.01108451364054\n", + "final lambda: 164568.88472130054\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390848072334811, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5521733851852789, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415354273255469, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387531749724198, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421233061859044, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415346040492152, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538627151886958, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5374429498551566, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5455436162288063, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466027559419487, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349104657433025, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282157167970246, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395553826757975, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325131974392915, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525923444210921, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424882868937442, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 89%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384610291462655, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448668277479224, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445526878409197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 90%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335711292619425, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550938653388048, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245301565050705, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559147346430615, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370193176229895, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346400541631667, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542774777175529, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.1806065243540633\n", + "log_lambda: 10.372942169671235\n", + "final lambda: 31982.436434206218\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423758244439666, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403062943293313, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 90%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466057772845876, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386627219775563, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5306190296172653, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385001869028224, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5465434430682324, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413788750254531, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 91%|███████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416695915145354, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.528343942790536, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379507313118274, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5339395983523779, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535658415500697, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415168115524276, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426625658298471, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508305867655037, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 92%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379866432280779, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5345246320624074, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457084400147802, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.535264768097136, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 92%|████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356398051089577, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262464888135322, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412744469892807, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5246796892934928, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443402519831112, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5348907055898869, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.48407701030908595\n", + "log_lambda: 13.178427211904175\n", + "final lambda: 528832.5985553048\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352370716210525, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394199695418023, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415168115524276, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432565843163065, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508305867655037, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360690197550076, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513350663493769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499600541311885, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362253898413768, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525464238615899, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424176329188442, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511544758850808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329098854587468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445526878409197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422673573797866, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417705871748166, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375907309673036, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440789905686682, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 95%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508305867655037, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395132494762934, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449218036773259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379824419384126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350544720005307, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.24068339241336145\n", + "log_lambda: 10.936689146717839\n", + "final lambda: 56200.96163721357\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515438962724247, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351000544879775, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427061487612975, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538633398051275, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448668277479224, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 95%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537537689309607, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429512185898259, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5433857720124594, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340943899966039, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413314378050974, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346084091185802, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371085482092208, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541427451600735, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458732482666481, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438424076880601, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354734525344372, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436650921674818, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 96%|█████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373452075122118, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430080680110242, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5293379499013778, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262521369973685, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448668277479224, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397318755496574, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325061244736652, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556290845752145, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362246291757902, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420622764863613, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334250326031649, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441760369357452, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415168115524276, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378355170997161, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513212958212029, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436363508279602, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476401215877883, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5336339312849111, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468706611599303, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.08661637463234814\n", + "log_lambda: 9.507260899121235\n", + "final lambda: 13457.08347913946\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401312214776047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545257505913849, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5357358735396298, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517365322839021, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349295358121613, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5288628702492235, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412196924300717, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429999427544597, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492039374555432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370067922130812, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445526878409197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395962368668266, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451033336277433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5439347606419127, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5431923087205457, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421193792302225, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414620175375523, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414055576444655, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5415168115524276, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538703603432439, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262109593766375, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373245512874323, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400313979785493, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508305867655037, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414805726225841, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385296179565126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530213740204903, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393318737460344, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497454788496001, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416945635805871, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 99%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375026359220455, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475703282395333, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396001409271981, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454322648436306, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5235727414013985, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5407224739273263, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469873248358822, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350895882088609, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539246538667578, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420900558651348, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445526878409197, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393802666197443, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451033336277433, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400599860879082, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 4 of total 5 trials: 100%|███████████████████████████████████\n", + "2024-12-04 13:25:51,335 - robyn.modeling.ridge.ridge_evaluate_model - INFO - Finished in 1.66 mins\n", + "Running trial 5 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.46052999775042414\n", + "log_lambda: 12.97743419605957\n", + "final lambda: 432541.77749775443\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7480507439466328, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7969529279484409, train_idx: 125\n", + "val_test_size: 16\n", + "After train split - X_train: (125, 11), y_train: (125,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7564238068141598, train_idx: 118\n", + "val_test_size: 19\n", + "After train split - X_train: (118, 11), y_train: (118,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 0%| " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7037834077929738, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7128816167885634, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6316687657736381, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 1%|▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7895418731971382, train_idx: 123\n", + "val_test_size: 17\n", + "After train split - X_train: (123, 11), y_train: (123,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6997315611515902, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281189173682883, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7457720707684254, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7427583603203229, train_idx: 116\n", + "val_test_size: 20\n", + "After train split - X_train: (116, 11), y_train: (116,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7102614074109495, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7927402954919502, train_idx: 124\n", + "val_test_size: 16\n", + "After train split - X_train: (124, 11), y_train: (124,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 1%|▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7273268086691039, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.579920945597169, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7712983008261813, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 1%|▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7727887686424295, train_idx: 121\n", + "val_test_size: 18\n", + "After train split - X_train: (121, 11), y_train: (121,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7611244538825885, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7125473486900052, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6156004599732443, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5343736055128865, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 1%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7323687391555738, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7271935426734355, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6918216321286906, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7677107208829943, train_idx: 120\n", + "val_test_size: 18\n", + "After train split - X_train: (120, 11), y_train: (120,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 2%|▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375875254506502, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.748050743946633, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7969529279484409, train_idx: 125\n", + "val_test_size: 16\n", + "After train split - X_train: (125, 11), y_train: (125,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5971618154895345, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5591893772456772, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6316687657736382, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5804035085340583, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 2%|▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6997315611515902, train_idx: 109\n", + "val_test_size: 24\n", + "After train split - X_train: (109, 11), y_train: (109,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6427605957491136, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6460565355206038, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191428106341894, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7460420084484333, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 2%|▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5645474153768205, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281347210542728, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6520655322842517, train_idx: 102\n", + "val_test_size: 27\n", + "After train split - X_train: (102, 11), y_train: (102,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335647547452583, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.747696504806864, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 662596054.1003981\n", + "lambda_max (after 0.1 factor): 66259605.41003981\n", + "lambda_min: 6625.960541003981\n", + "lambda_hp: 0.09120825481135665\n", + "log_lambda: 9.638809699212661\n", + "final lambda: 15349.062852737326\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5569790765546642, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7611244538825886, train_idx: 119\n", + "val_test_size: 19\n", + "After train split - X_train: (119, 11), y_train: (119,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 3%|▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5276997440782636, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5937268236283092, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549869552997543, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7323687391555738, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6488889175806717, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 3%|█ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6918216321286906, train_idx: 108\n", + "val_test_size: 24\n", + "After train split - X_train: (108, 11), y_train: (108,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7677107208829943, train_idx: 120\n", + "val_test_size: 18\n", + "After train split - X_train: (120, 11), y_train: (120,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7102229051296307, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 3%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5622618333218065, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098826664860991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5591893772456772, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 3%|█▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6316687657736382, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6076368107973499, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5281189173682884, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601273237985277, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7460420084484333, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504188805785823, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 4%|█▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6266160232212556, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5167076631874827, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335647547452583, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 4%|█▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.747696504806864, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6266920887026965, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.616603384267308, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6221896064692756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 4%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6156004599732443, train_idx: 96\n", + "val_test_size: 30\n", + "After train split - X_train: (96, 11), y_train: (96,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178800437883879, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6101468415872613, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6064855964786626, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485888183924508, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6036871350184208, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 5%|█▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.748050743946633, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5622618333218065, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 5%|█▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6247874037886998, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138943972768043, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6316687657736382, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303989609712478, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191310280372913, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.22188903969853768\n", + "log_lambda: 10.77284486991837\n", + "final lambda: 47707.54640497903\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166221689418966, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7460420084484333, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.631258414413059, train_idx: 99\n", + "val_test_size: 29\n", + "After train split - X_train: (99, 11), y_train: (99,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 5%|█▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5645474153768205, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109420082073516, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 6%|█▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019859235544581, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.747696504806864, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6290709774982821, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464010999087427, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6221896064692756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6459309624861289, train_idx: 101\n", + "val_test_size: 28\n", + "After train split - X_train: (101, 11), y_train: (101,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178800437883879, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 6%|██ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6101468415872613, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6064855964786626, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485888183924508, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556063330847293, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7075515690392228, train_idx: 111\n", + "val_test_size: 23\n", + "After train split - X_train: (111, 11), y_train: (111,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 6%|██▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5043150317323186, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5312162615344908, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098826664860991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409986112394586, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 6%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7021837999155186, train_idx: 110\n", + "val_test_size: 23\n", + "After train split - X_train: (110, 11), y_train: (110,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 7%|██▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5310769344503908, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5011448690722727, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7460420084484333, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461239770822708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7273268086691039, train_idx: 114\n", + "val_test_size: 21\n", + "After train split - X_train: (114, 11), y_train: (114,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424857907203616, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 7%|██▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468163879346526, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530247281174259, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 7%|██▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6221896064692756, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363640906607591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178800437883879, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6101468415872613, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5756721588341186, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5361115580781244, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6770857243214086, train_idx: 106\n", + "val_test_size: 25\n", + "After train split - X_train: (106, 11), y_train: (106,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.28398371233366976\n", + "log_lambda: 11.351382815963206\n", + "final lambda: 85083.0243626523\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.52186519878146, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 8%|██▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.686625941152919, train_idx: 107\n", + "val_test_size: 25\n", + "After train split - X_train: (107, 11), y_train: (107,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098826664860991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5170829144860712, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6202883528416525, train_idx: 97\n", + "val_test_size: 30\n", + "After train split - X_train: (97, 11), y_train: (97,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 8%|██▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303989609712478, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176908003471975, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.576072242028914, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.7460420084484333, train_idx: 117\n", + "val_test_size: 20\n", + "After train split - X_train: (117, 11), y_train: (117,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544718168331155, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461239770822708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 8%|██▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5779407824187441, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5018734315708583, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6408134686915533, train_idx: 100\n", + "val_test_size: 28\n", + "After train split - X_train: (100, 11), y_train: (100,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 9%|███ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5896969706294322, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530247281174259, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5632170884831053, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178800437883879, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 9%|███▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6101468415872613, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6064855964786626, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556063330847293, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218651987814601, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605437826510357, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5098826664860991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138943972768043, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 9%|███▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6002800437934096, train_idx: 94\n", + "val_test_size: 31\n", + "After train split - X_train: (94, 11), y_train: (94,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303989609712478, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5272175793250744, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166221689418966, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5591891605012019, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461239770822708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 10%|███▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5196223538499272, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5779407824187441, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5312931670545847, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 10%|███▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540631388191665, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.14570621092702013\n", + "log_lambda: 10.056062863878925\n", + "final lambda: 23296.60367433244\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530247281174259, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 10%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216492051057949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5589285499832689, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6064855964786626, train_idx: 95\n", + "val_test_size: 31\n", + "After train split - X_train: (95, 11), y_train: (95,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386452435069703, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 11%|███▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556063330847293, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5205049291229746, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.565758440528893, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225512165295777, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401057626730345, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5138943972768043, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 11%|███▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567326655906929, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093576066509367, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5116252694969661, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 11%|███▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5591891605012019, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.523342199428934, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 11%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5057603775548707, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5197350314422302, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019859235544581, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540631388191665, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 12%|████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530247281174259, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.577535979540241, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216492051057949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 12%|████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5589285499832689, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5641716286217925, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556063330847293, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 12%|████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5056838048835965, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605437826510357, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229787257322162, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211618600411339, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 12%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282684155885545, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.506407448540731, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536255624255855, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224643713182777, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093576066509367, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.22188903969853768\n", + "log_lambda: 10.779469745707203\n", + "final lambda: 48024.65220759251\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5166221689418966, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5000534193768706, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 13%|████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5124187541292182, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 13%|████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5779407824187441, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232240192209815, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540631388191665, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 13%|████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419415400366339, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216492051057949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024721332847053, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5210231106041511, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556063330847293, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218651987814601, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5742210980557946, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.566953718275302, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 14%|████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350560915562965, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5797643321021558, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5063876078475773, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 14%|████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287768967523608, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093576066509367, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047049762449212, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 14%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5023308779928966, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119360299700431, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635277726013989, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 15%|█████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5030822273019437, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556531986242721, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540631388191665, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 15%|█████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479923274803942, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216492051057949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024721332847053, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5210231106041511, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203415359694791, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5084495395612629, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 622168572.1123414\n", + "lambda_max (after 0.1 factor): 62216857.211234145\n", + "lambda_min: 6221.685721123415\n", + "lambda_hp: 0.24447431940166922\n", + "log_lambda: 10.987487859169331\n", + "final lambda: 59129.655294063705\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5223343223614112, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605437826510357, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521224116297666, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 15%|█████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521161860041134, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5145652469255512, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 16%|█████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567326655906929, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5079041140980708, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5047049762449212, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044079182030334, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5052824010071424, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5163849337862568, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 16%|█████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51198265551108, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5826485149249919, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5094801431508151, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216492051057949, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 16%|█████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5044326062229325, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093591612010937, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150526432944708, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372851286125216, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5170549038427076, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 17%|█████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5218651987814601, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605437826510357, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5154486325967432, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521161860041134, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 17%|█████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5049196634985638, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133461303255715, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093576066509367, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5003946254093219, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117512818270765, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 17%|██████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5088441121881541, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5259520073879219, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515178022758498, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5256147805598086, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5267012980596779, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.22740935527089312\n", + "log_lambda: 10.804012172787287\n", + "final lambda: 49217.87614583877\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 18%|██████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280080016368068, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5019314879638892, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5606138049716531, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423318648803226, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5170549038427076, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137740652179532, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 18%|██████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229787257322162, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301468408342739, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599485262702883, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 18%|██████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5195804086972067, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567326655906929, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5753320917381759, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5803172918210987, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5117512818270765, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5341616867213735, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 19%|██████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466857189903059, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119360299700431, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51198265551108, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552002437760455, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 19%|██████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5911991277799713, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5659991886964234, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5634759989966731, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541234793390634, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 19%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.526824380546658, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5621904913261404, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5024721332847053, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5606138049716533, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359030884373798, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 20%|██████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372851286125216, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327068606974671, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137740652179532, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5831019364264305, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 20%|██████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5167545580989836, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5579861391631428, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428215654384599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5724146379521707, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479967083648327, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5735534572660501, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539794310202162, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.5425344883432296\n", + "log_lambda: 13.710986368107204\n", + "final lambda: 900753.0080568228\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316324721400864, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115210152835543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 20%|███████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5611066937805863, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334507658676064, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51198265551108, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 21%|███████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5267012980596779, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287937886213933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266299392638997, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.6277809064479641, train_idx: 98\n", + "val_test_size: 29\n", + "After train split - X_train: (98, 11), y_train: (98,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 21%|███████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5858027536082154, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372851286125216, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5528230987594869, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 21%|███████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137740652179532, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564510572599658, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229787257322162, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5772604862937163, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.554423095015808, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599485262702885, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5849543437141562, train_idx: 91\n", + "val_test_size: 33\n", + "After train split - X_train: (91, 11), y_train: (91,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575899973060732, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365860235647122, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5136610221007072, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 22%|███████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617393147635578, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517877849601963, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5910613777342536, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119360299700431, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498900367176666, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559502163634853, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.575650182203606, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 22%|███████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492884292797587, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539699661746059, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 22%|███████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5606138049716533, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372851286125216, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404668612840808, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.25091837984802756\n", + "log_lambda: 11.025102750915256\n", + "final lambda: 61396.171017688415\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5137740652179532, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5609500176959888, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229787257322162, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 23%|███████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5676338920953503, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5665153756832397, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5652020058006494, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 23%|████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262527405437453, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567326655906929, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617393147635578, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5126531198288924, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 23%|████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5225525576078937, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351190591601326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5119360299700431, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.592450500530475, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5267012980596779, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517711637187388, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 24%|████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5587385913620295, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389218377429068, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 24%|████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530790195537993, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5205602916083606, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5209304657419161, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 24%|████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301468408342739, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564790480763327, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599485262702885, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5605832642133325, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429237042989924, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032191234220313, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617393147635578, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115210152835543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426799805266512, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 25%|████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535053467111254, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509373454385848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5795462541282536, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5165664243757363, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477695209351663, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.12482575559278336\n", + "log_lambda: 9.85918230316935\n", + "final lambda: 19133.237849241792\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491705520941337, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436387125232336, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 25%|████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152059831729069, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5069574292609832, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294940630002777, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542410444228587, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5326954467335141, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564790480763327, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|█████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456683943918843, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429237042989924, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147675859439805, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421748437256614, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115210152835543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141854599755873, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 26%|█████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509373454385848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5174606512358523, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5032031634128831, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 27%|█████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422399211874848, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516033505583563, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517711637187389, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5160727960129105, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5405674317186244, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375389934912994, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 27%|█████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5977400992730234, train_idx: 93\n", + "val_test_size: 32\n", + "After train split - X_train: (93, 11), y_train: (93,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404668612840808, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581651409411669, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 27%|█████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613598577132821, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546553908255543, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531095110707745, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635373494414082, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5319039733446255, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5698335355168088, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 598933090.8259026\n", + "lambda_max (after 0.1 factor): 59893309.08259026\n", + "lambda_min: 5989.330908259026\n", + "lambda_hp: 0.2012916443553143\n", + "log_lambda: 10.551699541958383\n", + "final lambda: 38242.377637999874\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421748437256614, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5115210152835543, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 28%|█████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5071956632131375, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509373454385848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 28%|█████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5338687977948093, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516508791360389, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5520219356857394, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5678703834002083, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354656528759159, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5890388976585769, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5017835859145836, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 28%|█████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294940630002777, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 29%|██████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128798369299453, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393682820148137, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5149308838022301, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549164840805443, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150588200912394, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342464098797742, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 29%|██████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5421748437256614, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379667247869334, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509373454385848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 29%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498900367176666, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577602471980789, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5587458311524126, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 30%|██████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428378802330673, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5436205299376985, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5678703834002083, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544380088810995, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 30%|██████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224621701262323, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5171038812219987, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404668612840808, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.159711538852022\n", + "log_lambda: 10.185056701089334\n", + "final lambda: 26504.152586872115\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560114555144176, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 30%|██████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5752441741919087, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 30%|██████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429237042989924, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517118766642655, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5073239234113341, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.518045205085866, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464091718191368, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 31%|██████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498900367176666, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5408991551475392, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643121941303999, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389067, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 31%|██████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5678703834002083, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544380088810995, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294058922250906, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335687439476932, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404668612840808, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 32%|███████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.561905599208929, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 32%|███████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.515725907887799, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549164840805443, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5697774124300933, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5287959550528599, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227237346066893, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489355849998016, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5250724759208203, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.507266336810181, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 32%|███████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5232924556206803, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.509373454385848, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5152410012198816, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5698819559499372, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5907654422550819, train_idx: 92\n", + "val_test_size: 32\n", + "After train split - X_train: (92, 11), y_train: (92,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5643121941303999, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783445\n", + "lambda_max (after 0.1 factor): 60128803.23783445\n", + "lambda_min: 6012.880323783445\n", + "lambda_hp: 0.02292265691706819\n", + "log_lambda: 8.91278464036462\n", + "final lambda: 7426.311940342099\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 33%|███████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5678703834002083, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544380088810995, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303161752796137, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5216439431994683, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 33%|███████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5109792983182637, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488956639803967, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5404668612840808, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 33%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5124265583426898, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516908047822752, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5227171745514336, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350165976737932, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 34%|███████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510290276055829, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133898545939407, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5238656330543082, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 34%|███████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5627926602431341, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5045098636623875, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5178947516804474, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5141092659837811, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498900367176666, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 34%|███████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289909722190765, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5229737781961677, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5338254057934539, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 34%|████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544380088810995, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5294058922250906, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541544337923782, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488956639803967, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351072368389296, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5247953469506095, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 35%|████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544741198522933, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573610659780724, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5376185691811911, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5260105884550657, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.04410890655873605\n", + "log_lambda: 9.13149454151407\n", + "final lambda: 9241.823942351957\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5792272330245317, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 35%|████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022514525093904, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529160054869715, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262360074835, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289909722190765, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 36%|████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5531167360318933, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544380088810995, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 36%|████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471291527043173, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.561502637694792, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283050034840543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 36%|████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5048599850058735, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420168495072426, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 36%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391533998832696, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5697774124300933, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458982309778831, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 37%|████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5649185368646599, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556388566599835, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530889952532401, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 37%|████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5022514525093904, train_idx: 78\n", + "val_test_size: 39\n", + "After train split - X_train: (78, 11), y_train: (78,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5498254055012542, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5554881165383923, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5191906656022989, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389018536829682, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550030723696127, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 37%|█████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476103467771244, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5542245480133218, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541544337923782, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5205229467717749, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.159711538852022\n", + "log_lambda: 10.200168923643123\n", + "final lambda: 26907.73104236631\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 38%|█████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530478526194263, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5795030048445197, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5252756582412056, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 38%|█████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151970910902991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133898545939407, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.520204522900713, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364493321925736, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 38%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5562780846174576, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537533783759263, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 39%|█████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5150978470980901, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5289909722190765, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458262863140156, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 39%|█████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550030723696127, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5630767369277441, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384895224562385, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486845040556113, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 39%|█████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.541544337923782, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283050034840543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5176138127617372, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 39%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538055093497543, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420168495072426, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5534152333159154, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 40%|█████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151970910902991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5133898545939407, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.519528786969421, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 40%|█████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384487149496552, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5203416937681057, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5634530138312738, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504308177378028, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.02292265691706819\n", + "log_lambda: 8.925184539366345\n", + "final lambda: 7518.970751059054\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481428295109746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 40%|██████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419741398141321, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5566477564123707, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 40%|██████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5305665547477079, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5259986830134238, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380093366219744, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283050034840543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544014483046339, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208222966180229, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5145389833940741, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 41%|██████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391533998832697, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396229895017959, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5147717720731506, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5093562095783336, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832358, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5333200492329694, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352264469179523, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303584170656184, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 41%|██████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5639427345059848, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5211181224560537, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 42%|██████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5607560779392763, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458653815443202, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5587858159757705, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295322198829888, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486824428872584, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613821506128773, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 42%|██████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364638567629978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283050034840543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468164393993048, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 42%|██████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.532840310067837, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578162439722457, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151970910902991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471775490908722, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.12063553575986202\n", + "log_lambda: 9.825153412234148\n", + "final lambda: 18493.108205620032\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 43%|██████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245629343012509, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467240243377284, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5619624398628463, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 43%|███████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5515811415247022, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5255719299814852, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5571357564854065, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5321928122042524, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5674807701510555, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5324123409690407, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422877851751132, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 43%|███████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5545123175869636, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358016313634528, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5368171184418856, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283050034840543, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5321049292844533, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 44%|███████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434697670096696, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5708584711451677, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5341012245220339, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395193142944902, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547372980757081, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5681764239230688, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 44%|███████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5742658277830087, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5263432022370442, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5356065809145582, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 44%|███████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5460173988918126, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529792784425681, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329468437961948, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.561979197652706, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5359845205087296, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410421108533587, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 45%|███████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254124382220717, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224294391629515, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552461691571306, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 45%|███████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.2039679380868395\n", + "log_lambda: 10.607785424233859\n", + "final lambda: 40448.52367261693\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413922231586564, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5090707150341547, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542783065578524, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364114978466004, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329726153949358, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395193142944902, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 46%|███████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5262466340779797, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5555955995388544, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537533783759263, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 46%|████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385699989162923, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5392821795688026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 46%|████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.543535132046102, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5347224007041536, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364638567629978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125500477842297, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 47%|████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5393249231568842, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529480221637969, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315127984142501, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.555312307174799, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406249590003441, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5151970910902991, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 47%|████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5378945794004764, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367420090008967, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.555008035786506, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 47%|████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388558927638827, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5652166267843318, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537533783759263, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5464381667974599, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349728796688277, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 612364741.4305602\n", + "lambda_max (after 0.1 factor): 61236474.14305603\n", + "lambda_min: 6123.647414305603\n", + "lambda_hp: 0.11411239426583014\n", + "log_lambda: 9.77092717255831\n", + "final lambda: 17517.000974061924\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5392821795688026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 48%|████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5120530518109664, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5354545467557636, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364638567629978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125500477842297, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 48%|████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469273051610322, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499401730870551, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424618930679281, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342015849603742, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 48%|████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406249590003441, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395193142944902, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410317997539126, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 49%|█████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5130463111400778, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5190087794753415, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 49%|█████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5353512553071055, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5392821795688026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.51625321008244, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 49%|█████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5670904556310878, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5573296599706664, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125500477842297, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379250279120095, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381866695149867, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5280816541061343, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 50%|█████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442911414567598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578735195697643, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5249110105209335, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.12063553575986202\n", + "log_lambda: 9.840265634787936\n", + "final lambda: 18774.70257172732\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5542407938970005, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 50%|█████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5624181848073633, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245952755997499, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 50%|█████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.531488010586496, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5114116624064269, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438642710210878, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448125253380564, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 51%|█████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411897694815039, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364638567629978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125500477842297, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 51%|█████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463926762481134, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315570597554392, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406249590003441, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5333705243487767, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454731980688331, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 52%|██████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5373418306505158, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487737258547759, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 52%|██████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213653534962268, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524429166858204, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352984920464626, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 52%|██████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5661753682013185, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5696213374787161, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5566283175256195, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5125500477842297, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451410922179483, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 606017894.1760392\n", + "lambda_max (after 0.1 factor): 60601789.417603925\n", + "lambda_min: 6060.178941760393\n", + "lambda_hp: 0.18631632668713455\n", + "log_lambda: 10.425531392615525\n", + "final lambda: 33709.379215415975\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5340470955172714, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219867846985963, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 53%|██████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559968531403033, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406249590003441, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5365117574653024, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 53%|██████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5239781463099069, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 53%|██████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375783755984129, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467755183056736, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5559616713142072, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245006316330159, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563057394810037, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 54%|██████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453471542509751, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5364638567629978, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5224374096163596, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 54%|██████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391363888503901, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 54%|███████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442911414567598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5517067299547405, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475920684349957, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.560608843477656, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5690085878082275, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432283238003647, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5770712770058066, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396024318741003, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 55%|███████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5584042050408128, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497831300408497, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5266291366458508, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344717696201468, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.555048982955308, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 604025951.4935808\n", + "lambda_max (after 0.1 factor): 60402595.14935809\n", + "lambda_min: 6040.2595149358085\n", + "lambda_hp: 0.12903512832141487\n", + "log_lambda: 9.894659707836675\n", + "final lambda: 19824.220126278844\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 55%|███████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399178517609757, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 55%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5611704177669513, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5505207239019415, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 56%|███████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481655925337231, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5690187193734024, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 56%|███████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5595460140206955, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128997631835789, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5185872069963362, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475920684349957, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483156757814975, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5454731980688331, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5384890889446317, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5307392502832359, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 56%|███████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438916302453661, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.55986740508283, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5612530599408293, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.556019578246572, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 57%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381086372336471, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419635175410987, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496216018011618, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 57%|███████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5128616017782132, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 57%|███████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5236920881400723, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5253466243850652, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5301829458323789, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601051296211602, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590517996217329, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 57%|████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475920684349957, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5661635675166202, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320427142730406, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 58%|████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.14307904695734822\n", + "log_lambda: 10.046978012059043\n", + "final lambda: 23085.915964439253\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5519673086848255, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5656105218193147, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5552166220173279, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546481098429532, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.516918469994323, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315115480436133, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 58%|████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53184369072153, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5208525625795386, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5565216808120826, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5189404523319704, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360046702357676, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417911124641324, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418245522815228, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 58%|████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448668504374473, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511798325771808, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5621332566894369, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 59%|████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.553047618084834, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536968909648764, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442911414567598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493338457936586, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5316155290494, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387618155914089, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5157303892612853, train_idx: 80\n", + "val_test_size: 38\n", + "After train split - X_train: (80, 11), y_train: (80,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412533847667026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 59%|████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5603574023908139, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582293321806523, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 60%|████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5234186537934092, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5622812926242027, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5372572253183903, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479179279403791, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5558841632946545, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 60%|████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5571279251494424, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418245522815228, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 60%|█████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.0016650284268617812\n", + "log_lambda: 8.744506768024316\n", + "final lambda: 6276.117074671621\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54334430199447, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397611400926574, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564431798167996, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 60%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442911414567598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5448595860077754, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5284445687498179, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 61%|█████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.544888178080697, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412533847667026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 61%|█████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582293321806523, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5700736188149731, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540036316344867, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457948875697931, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 61%|█████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5495225458905764, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399758067965111, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499206402183153, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5261303694124234, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545380112201662, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 61%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5514989666535491, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469793596263803, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 62%|█████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402100296890473, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5357579906387391, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5568674259910296, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512553550707525, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500517001729309, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 62%|█████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.536089265973641, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469567571177915, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 62%|█████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491298549145769, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5582293321806523, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315115480436133, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5503446532821988, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 62%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401392044519925, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.12042111150642629\n", + "log_lambda: 9.823178491875996\n", + "final lambda: 18456.621830440843\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601060748464848, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 63%|█████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452296567051474, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 63%|██████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418245522815228, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5481641370269706, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5560593019243435, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 63%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525127495362997, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442911414567598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 64%|██████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5578904812879649, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.568348884164034, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5553583011921631, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518613752972847, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416102174121703, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509529018981746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479009059375992, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 64%|██████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493843849519685, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5360806372692356, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563479051359514, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5645989869914966, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 64%|██████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5770484447604666, train_idx: 90\n", + "val_test_size: 33\n", + "After train split - X_train: (90, 11), y_train: (90,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5320995928389068, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416694858254009, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395408598085415, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 64%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424879062775138, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418616495489617, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.558896341864203, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 65%|██████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5167375235853556, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539043800441034, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5363627861215551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 65%|██████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466625391788492, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475920684349957, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394122103303692, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.13666546839487012\n", + "log_lambda: 9.97279454794242\n", + "final lambda: 21435.30371274484\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412533847667026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 65%|██████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5389240341825697, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509529018981746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479009059375993, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577651893015497, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457693862436496, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 66%|██████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463236449806644, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547448485506992, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5528040349445166, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5429104638511614, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358718560788707, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5394061415190825, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 66%|███████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5497268122896108, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416419832448864, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 66%|███████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54834425132168, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427224465971532, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5586965612215296, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 66%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475920684349957, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5403605577450629, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 67%|███████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5358549352720514, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5412533847667026, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509529018981746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479009059375993, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400217715704325, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484220751364848, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 67%|███████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5649053412703856, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5388826210773523, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5254990706990516, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540143950163657, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 67%|███████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5401876004356386, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563299251728018, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5613951332314367, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738245\n", + "lambda_max (after 0.1 factor): 61806040.567382455\n", + "lambda_min: 6180.604056738246\n", + "lambda_hp: 0.22693302987838432\n", + "log_lambda: 10.81930173630766\n", + "final lambda: 49976.17827141943\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5303513302577499, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 68%|███████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.559045753229337, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397791213009048, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 68%|███████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5551472494778052, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430895333434974, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 68%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542412608367991, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529456299485925, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479009059375993, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457693862436496, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 69%|███████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486018916790666, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577775878888558, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546510468245352, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5414660367252861, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5668203466999405, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538591486179881, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 69%|████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417793486098039, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422962766655993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537532720577269, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 69%|████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444278540018144, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477958173151318, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5398921878211407, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 69%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511037925887191, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 70%|████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5516741203497467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 70%|████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544883017860529, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550359234565695, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500639680851758, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5649998523615972, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546498240418156, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.04383190031957974\n", + "log_lambda: 9.117765788023975\n", + "final lambda: 9115.812190988638\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5496495066464385, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470791691245496, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538591486179881, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5351570065861051, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 70%|████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5586528843119204, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422962766655993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 71%|████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.551166449132391, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5226858170598166, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5042706263089058, train_idx: 79\n", + "val_test_size: 39\n", + "After train split - X_train: (79, 11), y_train: (79,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 71%|████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5596364013694249, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552859140422257, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430286672391563, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5277739729940497, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509529018981746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 71%|████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5552904017067327, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539666881185922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5334655121291403, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379921231787185, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 72%|█████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5471442074651769, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.543486235772969, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 72%|█████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.537380291197946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483984970309883, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5580405896408638, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5475625978543575, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 72%|█████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.549178564603327, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5395193714220877, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.08482693353186907\n", + "log_lambda: 9.510456220023416\n", + "final lambda: 13500.151951413234\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458902371335839, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 73%|█████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5311418227498051, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509529018981746, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.555634167032263, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539666881185922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411041, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 73%|█████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 73%|█████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285355845954951, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5581079927111489, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5422962766655993, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390973419289361, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5558725705288611, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 74%|█████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5463926762481134, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5506069549706231, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410417255624826, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547195685531478, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 74%|█████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5344165751486007, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 74%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485107889736065, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5646523779063708, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539666881185922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564857886087828, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 75%|██████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561850644557718, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5660930131141693, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5597801552812407, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 75%|██████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525505651102732, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483553460436142, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5502294657844645, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 603311097.6837705\n", + "lambda_max (after 0.1 factor): 60331109.76837706\n", + "lambda_min: 6033.110976837706\n", + "lambda_hp: 0.2269330298783843\n", + "log_lambda: 10.795148520062634\n", + "final lambda: 48783.55366915681\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 75%|██████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5377880876526321, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491073696078052, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379711086842351, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 76%|██████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483743353304797, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5425740801494577, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5249065233290308, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 76%|██████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5370155243358717, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5597882364821339, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478597801431467, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5418572122678444, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5544560092955367, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 76%|██████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487829235704388, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5601146679012997, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 77%|██████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483553460436142, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542843583426491, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5478253850390353, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54929423346512, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5492150786573115, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 77%|██████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5427501513487712, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5219706582236598, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 77%|███████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5416391835142867, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539666881185922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 78%|███████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457580265402142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5233466808709374, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 615633245.5838062\n", + "lambda_max (after 0.1 factor): 61563324.55838062\n", + "lambda_min: 6156.332455838062\n", + "lambda_hp: 0.2294451231627286\n", + "log_lambda: 10.838504179691144\n", + "final lambda: 50945.116220082695\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5400389603356127, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.567530201667552, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5327383795391843, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5554276607871929, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 78%|███████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5472668253939795, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54838060432637, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402685464370621, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 78%|███████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432308315464555, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5258974129426104, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500097426346919, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546102357350766, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 79%|███████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539666881185922, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5718245776484066, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5349750604401405, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5462413059675296, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451203536711302, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 79%|███████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432134571494979, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 80%|███████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483553460436142, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369934989420794, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 80%|███████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445595079994731, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.53957743029757, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540649727494616, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539301494292454, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5204622377603457, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738245\n", + "lambda_max (after 0.1 factor): 61806040.567382455\n", + "lambda_min: 6180.604056738246\n", + "lambda_hp: 0.2508390280882267\n", + "log_lambda: 11.039484116752162\n", + "final lambda: 62285.51145114003\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 80%|████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367648089621325, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430366789099584, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5458230508986284, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 81%|████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550770494494675, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5318328008109933, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5716448521185783, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.555934955167349, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382393490087778, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5438673387613459, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513861106108363, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 81%|████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5700674303853205, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5323718077364183, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 81%|████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.563657201112084, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428811745504522, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 82%|████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386775827006426, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483585607750068, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5499365546759817, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511659630695049, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409330688184405, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 82%|████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5504378955964738, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5509498868895915, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5617982314255081, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5521048633186708, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 82%|████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473235125486874, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5295651778336757, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467899463257081, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5610046957856792, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5570386197174005, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738245\n", + "lambda_max (after 0.1 factor): 61806040.567382455\n", + "lambda_min: 6180.604056738246\n", + "lambda_hp: 0.13487512462468312\n", + "log_lambda: 9.971417094989937\n", + "final lambda: 21405.79791644674\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 83%|████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5487551867303817, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397970500829382, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409527943532642, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 83%|█████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467015450091376, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5533971472583359, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5434304575782153, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 83%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550141429039103, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485971713853096, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 83%|█████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5283574267756602, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5549476844019531, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456968774354595, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 84%|█████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5486152663183538, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5362472401441554, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 84%|█████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513861106108363, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5413101658596017, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5670645157975268, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5397744163679308, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 84%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5382610234416496, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420542639807983, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5563255590706867, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 85%|█████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5539721164665833, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493748100875919, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 85%|█████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.04383190031957974\n", + "log_lambda: 9.117765788023975\n", + "final lambda: 9115.812190988638\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 85%|█████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5508034482131786, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539853361278669, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5456215120826828, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469763723170545, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5483790157136174, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524316797668984, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545858531068604, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 86%|█████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5548332341894058, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.548390605300338, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 86%|██████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445899564970559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.550076362006649, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367377276250098, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5510409615354711, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5383564323865743, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 86%|██████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5467659927864172, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 87%|██████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488584026549743, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489868385450702, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5368718324485334, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513861106108363, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 87%|██████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535692546573688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5479276491178796, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5546313180531265, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 87%|██████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445899564970559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.2508390280882267\n", + "log_lambda: 11.039484116752165\n", + "final lambda: 62285.51145114025\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 88%|██████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5658446538224889, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5635949519204223, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5443879100254144, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 88%|██████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5561611797832513, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539853361278669, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5459726937964771, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 88%|██████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5329327291016142, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.543063339980144, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535692546573688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.538219777078046, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 89%|███████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5406997261220162, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445899564970559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5466137292017151, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 89%|███████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5538545269834674, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342850794594832, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 89%|███████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513434421397349, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5379973639965838, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5352169580521254, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5525210887629947, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524550551575547, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539853361278669, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 90%|███████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5285342946974938, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313745449400166, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5565273518280162, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5543010833497837, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5577709448193677, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 90%|███████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.2269330298783843\n", + "log_lambda: 10.819301736307663\n", + "final lambda: 49976.1782714196\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5700252641788538, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.545939721039623, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 90%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491841817706257, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5367714191204047, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5213504795197975, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 91%|███████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.530293001753396, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5677015671510841, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 91%|███████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5566650665353391, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5391728572138678, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5457150849371636, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5564964382166522, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5396918317994336, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5441186893008129, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 91%|███████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5556656190859874, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426902415837032, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313745449400166, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5513861106108363, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 92%|████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535692546573688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5453902299866572, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5552645489815805, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444778534121719, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5440091145576574, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5586460147295059, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5550407136154427, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 92%|████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5488809286086458, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5610131555133597, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5385376591525176, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5446497758917678, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 92%|████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5590831160935514, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489348821126062, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5350400933357418, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5468846543030258, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409812679055591, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5637749931093226, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 601288032.3783424\n", + "lambda_max (after 0.1 factor): 60128803.237834245\n", + "lambda_min: 6012.8803237834245\n", + "lambda_hp: 0.11129415113009061\n", + "log_lambda: 9.726716181246678\n", + "final lambda: 16759.42693864706\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54165862294791, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5315683019662077, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5411886615767186, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 93%|████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5469764832817708, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387976830340835, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5599541429757446, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 93%|████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5245498977299866, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5423028624147633, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5428381177689404, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 93%|████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5476021501586824, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5335103542477794, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5625896316572053, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5529259792693815, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5342694367419671, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 94%|████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5500617717981741, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.547317175626072, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5520305654792594, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 94%|████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451665484553238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5309928112785619, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484059805094572, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5444539522771271, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5449566564016103, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 94%|█████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539853361278669, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5420328630416954, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387976830340836, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5402360208689726, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.521669702145473, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530688973870161, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5548679980505552, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 95%|█████████████████████████████████▏ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5470911552456481, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5341133671477093, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.539677849568404, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 618060405.6738268\n", + "lambda_max (after 0.1 factor): 61806040.567382686\n", + "lambda_min: 6180.604056738269\n", + "lambda_hp: 0.2508390280882267\n", + "log_lambda: 11.039484116752165\n", + "final lambda: 62285.51145114025\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 95%|█████████████████████████████████▎ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381176801338422, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5540212747273178, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5484855120195846, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 96%|█████████████████████████████████▍ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5278734097900981, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.563322037900832, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5304892717808876, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.55506598661917, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5567252205164528, train_idx: 87\n", + "val_test_size: 35\n", + "After train split - X_train: (87, 11), y_train: (87,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313745449400166, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 96%|█████████████████████████████████▌ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387976830340836, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5493134606525513, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5491065608141172, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5706821132654645, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5629190978578127, train_idx: 88\n", + "val_test_size: 34\n", + "After train split - X_train: (88, 11), y_train: (88,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546875417892326, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5346279980659324, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445899564970559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 96%|█████████████████████████████████▋ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.542039200323145, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5432844169132105, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5430842532800142, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 97%|█████████████████████████████████▊ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5511978905452635, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5319572317066732, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 97%|█████████████████████████████████▉ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5381166719367755, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.55220173066034, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5477586177911057, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 97%|██████████████████████████████████ " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5522230455411042, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5530729873479228, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390561472447115, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512270250653702, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5537325548121307, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5526987719474432, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387976830340836, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5300942955053487, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535692546573688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5369916794059196, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "DEBUG lambda calculation:\n", + "lambda_max (before 0.1 factor): 608790361.1824789\n", + "lambda_max (after 0.1 factor): 60879036.1182479\n", + "lambda_min: 6087.90361182479\n", + "lambda_hp: 0.2269330298783843\n", + "log_lambda: 10.804189513753874\n", + "final lambda: 49226.60526556023\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 98%|██████████████████████████████████▏" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5524058351568688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5410372754684326, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5426913319137652, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5445899564970559, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 98%|██████████████████████████████████▎" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5380900902337781, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451961056719624, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291370141273951, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5485622698787184, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5282149981522138, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 98%|██████████████████████████████████▍" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5489348821126062, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5435910642016965, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5451665484553238, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5399632760791205, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.546510468245352, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.552200437674209, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5375455467521052, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5409278163132257, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5390042971096215, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 99%|██████████████████████████████████▌" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.529400388080241, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5313745449400166, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5387976830340836, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5325531802155171, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5535692546573688, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 99%|██████████████████████████████████▋" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5194006118255959, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5518167773465298, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5700252641788538, train_idx: 89\n", + "val_test_size: 34\n", + "After train split - X_train: (89, 11), y_train: (89,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5461516425063384, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5512288164058686, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 99%|██████████████████████████████████▊" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5442654340986373, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5341133671477093, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5452818151946704, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5291370141273951, train_idx: 83\n", + "val_test_size: 37\n", + "After train split - X_train: (83, 11), y_train: (83,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5386430444827551, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5188062358271889, train_idx: 81\n", + "val_test_size: 38\n", + "After train split - X_train: (81, 11), y_train: (81,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.540415073894946, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5371533201201373, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5417412948396598, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5490472578224468, train_idx: 86\n", + "val_test_size: 35\n", + "After train split - X_train: (86, 11), y_train: (86,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 100%|██████████████████████████████████▉" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5473390273883963, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5419599151251288, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5258345570250259, train_idx: 82\n", + "val_test_size: 37\n", + "After train split - X_train: (82, 11), y_train: (82,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.5424120013842691, train_idx: 85\n", + "val_test_size: 36\n", + "After train split - X_train: (85, 11), y_train: (85,)\n", + "\n", + "ridge_data_builder prepare_data:\n", + "Window indices: 6 to 162\n", + "Full data shape before windowing: (208, 13)\n", + "Data shape after windowing: (157, 13)\n", + "Final data shapes - X: (157, 11), y: (157,)\n", + "\n", + "evaluate_model debug:\n", + "After prepare_data - X: (157, 11), y: (157,)\n", + "train_size: 0.54019254645609, train_idx: 84\n", + "val_test_size: 36\n", + "After train split - X_train: (84, 11), y_train: (84,)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Running trial 5 of total 5 trials: 100%|███████████████████████████████████\n", + "2024-12-04 13:27:34,671 - robyn.modeling.ridge.ridge_evaluate_model - INFO - Finished in 1.72 mins\n", + "2024-12-04 13:27:35,101 - robyn.visualization.model_convergence_visualizer - INFO - Initialized ModelConvergenceVisualizer\n", + "2024-12-04 13:27:35,102 - robyn.modeling.convergence.convergence - INFO - Starting convergence calculation\n", + "2024-12-04 13:27:35,105 - robyn.modeling.convergence.convergence - WARNING - 'mape' column not found or all zeros. Assuming model is not calibrated.\n", + "2024-12-04 13:27:35,127 - robyn.modeling.convergence.convergence - INFO - Convergence status for DECOMP.RSSD: converged\n", + "2024-12-04 13:27:35,128 - robyn.modeling.convergence.convergence - INFO - DECOMP.RSSD converged: sd@qt.20 0.026 <= 0.042 & |med@qt.20| 0.02 <= 0.08\n", + "2024-12-04 13:27:35,128 - robyn.modeling.convergence.convergence - WARNING - Convergence status for NRMSE: NOT converged\n", + "2024-12-04 13:27:35,129 - robyn.modeling.convergence.convergence - INFO - NRMSE NOT converged: sd@qt.20 0.003 <= 0.025 & |med@qt.20| 0.08 > 0.06\n", + "2024-12-04 13:27:35,129 - robyn.modeling.convergence.convergence - INFO - Creating visualization plots\n", + "2024-12-04 13:27:35,154 - matplotlib.category - INFO - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "2024-12-04 13:27:35,163 - matplotlib.category - INFO - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "2024-12-04 13:27:35,170 - matplotlib.category - INFO - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "2024-12-04 13:27:35,514 - robyn.visualization.model_convergence_visualizer - INFO - Successfully created moo distribution plot\n", + "2024-12-04 13:27:35,836 - robyn.visualization.model_convergence_visualizer - INFO - Successfully created moo cloud plot\n", + "2024-12-04 13:27:36,069 - robyn.modeling.convergence.convergence - INFO - Convergence calculation completed successfully\n", + "2024-12-04 13:27:36,099 - robyn.modeling.model_executor - INFO - Model building completed successfully\n", + "2024-12-04 13:27:36,100 - robyn.modeling.model_executor - INFO - Model execution completed successfully\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model training complete.\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Setup ModelExecutor\n", "model_executor = ModelExecutor(\n", @@ -375,9 +149305,113 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python window calculation (start):\n", + "window_start: 2016-01-04 00:00:00\n", + "closest_start_date: 2016-01-04 00:00:00\n", + "closest_start_idx: 6\n", + "days_diff first few values: [-42. -35. -28. -21. -14.]\n", + "Python window calculation (end):\n", + "window_end: 2018-12-31 00:00:00\n", + "closest_end_date: 2018-12-31 00:00:00\n", + "closest_end_idx: 162\n", + "days_diff first few values: [-1134. -1127. -1120. -1113. -1106.]\n", + "Window length: 157\n", + "Raw hyperparameters data: {'facebook_S_alphas': [0.5, 3], 'facebook_S_gammas': [0.3, 1], 'facebook_S_thetas': [0, 0.3], 'print_S_alphas': [0.5, 3], 'print_S_gammas': [0.3, 1], 'print_S_thetas': [0.1, 0.4], 'tv_S_alphas': [0.5, 3], 'tv_S_gammas': [0.3, 1], 'tv_S_thetas': [0.3, 0.8], 'search_S_alphas': [0.5, 3], 'search_S_gammas': [0.3, 1], 'search_S_thetas': [0, 0.3], 'ooh_S_alphas': [0.5, 3], 'ooh_S_gammas': [0.3, 1], 'ooh_S_thetas': [0.1, 0.4], 'newsletter_alphas': [0.5, 3], 'newsletter_gammas': [0.3, 1], 'newsletter_thetas': [0.1, 0.4], 'train_size': [0.5, 0.8]}\n", + "Debug: R output data keys: ['trial1', 'train_timestamp', 'cores', 'iterations', 'trials']\n", + "Data for trial1: Keys = ['resultCollect', 'hyperBoundNG', 'hyperBoundFixed']\n", + "Debug: resultCollect keys for trial1: ['resultHypParam', 'xDecompAgg', 'decompSpendDist', 'iter', 'elapsed.min']\n", + "Debug: Sample resultHypParam for trial1: [{'facebook_S_alphas': 1.98202923325, 'facebook_S_gammas': 0.58424338159, 'facebook_S_thetas': 0.09072730547999999, 'newsletter_alphas': 1.7514167265, 'newsletter_gammas': 0.6585122811199999, 'newsletter_thetas': 0.22826231587, 'ooh_S_alphas': 1.9350874957500002, 'ooh_S_gammas': 0.80499137605, 'ooh_S_thetas': 0.26847073588000003, 'print_S_alphas': 1.3471347205000002, 'print_S_gammas': 0.6602001640299999, 'print_S_thetas': 0.34398200833000003, 'search_S_alphas': 1.835435262, 'search_S_gammas': 0.6915214566899999, 'search_S_thetas': 0.11253588111, 'tv_S_alphas': 1.71477961025, 'tv_S_gammas': 0.6107644945299999, 'tv_S_thetas': 0.6227415716, 'train_size': 0.61856108114, 'rsq_train': 0.10198158252076239, 'rsq_val': 0.021397876288926865, 'rsq_test': 0.059633134934436116, 'nrmse_train': 0.20768886613981408, 'nrmse_val': 0.2510638317415451, 'nrmse_test': 0.2739366341935689, 'nrmse': 0.2510638317415451, 'decomp.rssd': 0.7387345487830449, 'mape': 0, 'lambda': 18093948.648772765, 'lambda_hp': 0.27625089, 'lambda_max': 65481090.25347749, 'lambda_min_ratio': 0.0001, 'pos': 1, 'Elapsed': 0.17789816856384277, 'ElapsedAccum': 0.17789816856384277, 'solID': '1_1_1', 'trial': 1, 'iterNG': 1, 'iterPar': 1}, {'facebook_S_alphas': 2.13765259325, 'facebook_S_gammas': 0.42364386608, 'facebook_S_thetas': 0.12368481942, 'newsletter_alphas': 1.721916049, 'newsletter_gammas': 0.66121546692, 'newsletter_thetas': 0.2789959496800001, 'ooh_S_alphas': 1.90420954525, 'ooh_S_gammas': 0.59705913727, 'ooh_S_thetas': 0.24133469173000002, 'print_S_alphas': 1.4684801765, 'print_S_gammas': 0.50496358274, 'print_S_thetas': 0.27695903143, 'search_S_alphas': 0.94155382925, 'search_S_gammas': 0.6002982903899999, 'search_S_thetas': 0.11599871313, 'tv_S_alphas': 1.2398895095, 'tv_S_gammas': 0.78885642701, 'tv_S_thetas': 0.5454301258500001, 'train_size': 0.6855719732900001, 'rsq_train': 0.02993615553141049, 'rsq_val': -0.9174868091240937, 'rsq_test': -0.32234322252740855, 'nrmse_train': 0.22104133020564956, 'nrmse_val': 0.37549407063522106, 'nrmse_test': 0.29324823877409334, 'nrmse': 0.37549407063522106, 'decomp.rssd': 0.7378530292794754, 'mape': 0, 'lambda': 32809098.543785743, 'lambda_hp': 0.500997019, 'lambda_max': 65481090.25347749, 'lambda_min_ratio': 0.0001, 'pos': 1, 'Elapsed': 0.17801284790039062, 'ElapsedAccum': 0.1845841407775879, 'solID': '1_1_2', 'trial': 1, 'iterNG': 1, 'iterPar': 2}, {'facebook_S_alphas': 2.6102667695, 'facebook_S_gammas': 0.7965459132199999, 'facebook_S_thetas': 0.18093507563999997, 'newsletter_alphas': 1.474268538, 'newsletter_gammas': 0.7942075329799999, 'newsletter_thetas': 0.21827078182000004, 'ooh_S_alphas': 1.7420353035, 'ooh_S_gammas': 0.57903756594, 'ooh_S_thetas': 0.21340826473000002, 'print_S_alphas': 2.664442167, 'print_S_gammas': 0.64652444988, 'print_S_thetas': 0.18970933642, 'search_S_alphas': 1.9373516685, 'search_S_gammas': 0.77617718407, 'search_S_thetas': 0.11917073759999999, 'tv_S_alphas': 1.6431689645, 'tv_S_gammas': 0.59425968817, 'tv_S_thetas': 0.52882370115, 'train_size': 0.73910106455, 'rsq_train': 0.31656676763193803, 'rsq_val': -0.9698909963340274, 'rsq_test': -0.27616084783434935, 'nrmse_train': 0.1799766193574899, 'nrmse_val': 0.37924153313856945, 'nrmse_test': 0.2724556485517393, 'nrmse': 0.37924153313856945, 'decomp.rssd': 0.7091714836890803, 'mape': 0, 'lambda': 7564606.713491391, 'lambda_hp': 0.1154350738, 'lambda_max': 65481090.25347749, 'lambda_min_ratio': 0.0001, 'pos': 1, 'Elapsed': 0.1683948040008545, 'ElapsedAccum': 0.18226933479309082, 'solID': '1_1_3', 'trial': 1, 'iterNG': 1, 'iterPar': 3}]\n", + "Shape of result_hyp_param:\n", + "(54, 39)\n", + "Debug: result_hyp_param DataFrame for trial1:\n", + " facebook_S_alphas facebook_S_gammas facebook_S_thetas newsletter_alphas \\\n", + "0 1.982029 0.584243 0.090727 1.751417 \n", + "1 2.137653 0.423644 0.123685 1.721916 \n", + "2 2.610267 0.796546 0.180935 1.474269 \n", + "3 1.008753 0.477549 0.051473 0.972705 \n", + "4 1.933208 0.629187 0.110968 1.857242 \n", + "\n", + " newsletter_gammas newsletter_thetas ooh_S_alphas ooh_S_gammas \\\n", + "0 0.658512 0.228262 1.935087 0.804991 \n", + "1 0.661215 0.278996 1.904210 0.597059 \n", + "2 0.794208 0.218271 1.742035 0.579038 \n", + "3 0.626001 0.249119 1.934297 0.545875 \n", + "4 0.437809 0.199232 1.354886 0.744018 \n", + "\n", + " ooh_S_thetas print_S_alphas ... lambda_hp lambda_max \\\n", + "0 0.268471 1.347135 ... 0.276251 6.548109e+07 \n", + "1 0.241335 1.468480 ... 0.500997 6.548109e+07 \n", + "2 0.213408 2.664442 ... 0.115435 6.548109e+07 \n", + "3 0.235703 1.432328 ... 0.429544 6.548109e+07 \n", + "4 0.230233 1.667235 ... 0.530087 6.548109e+07 \n", + "\n", + " lambda_min_ratio pos Elapsed ElapsedAccum solID trial iterNG \\\n", + "0 0.0001 1 0.177898 0.177898 1_1_1 1 1 \n", + "1 0.0001 1 0.178013 0.184584 1_1_2 1 1 \n", + "2 0.0001 1 0.168395 0.182269 1_1_3 1 1 \n", + "3 0.0001 1 0.185836 0.207985 1_1_4 1 1 \n", + "4 0.0001 1 0.184905 0.214969 1_1_5 1 1 \n", + "\n", + " iterPar \n", + "0 1 \n", + "1 2 \n", + "2 3 \n", + "3 4 \n", + "4 5 \n", + "\n", + "[5 rows x 39 columns]\n", + "Data types in result_hyp_param:\n", + "facebook_S_alphas float64\n", + "facebook_S_gammas float64\n", + "facebook_S_thetas float64\n", + "newsletter_alphas float64\n", + "newsletter_gammas float64\n", + "newsletter_thetas float64\n", + "ooh_S_alphas float64\n", + "ooh_S_gammas float64\n", + "ooh_S_thetas float64\n", + "print_S_alphas float64\n", + "print_S_gammas float64\n", + "print_S_thetas float64\n", + "search_S_alphas float64\n", + "search_S_gammas float64\n", + "search_S_thetas float64\n", + "tv_S_alphas float64\n", + "tv_S_gammas float64\n", + "tv_S_thetas float64\n", + "train_size float64\n", + "rsq_train float64\n", + "rsq_val float64\n", + "rsq_test float64\n", + "nrmse_train float64\n", + "nrmse_val float64\n", + "nrmse_test float64\n", + "nrmse float64\n", + "decomp.rssd float64\n", + "mape int64\n", + "lambda float64\n", + "lambda_hp float64\n", + "lambda_max float64\n", + "lambda_min_ratio float64\n", + "pos int64\n", + "Elapsed float64\n", + "ElapsedAccum float64\n", + "solID object\n", + "trial int64\n", + "iterNG int64\n", + "iterPar int64\n", + "dtype: object\n", + "Debug: x_decomp_agg DataFrame shape: (648, 29)\n" + ] + } + ], "source": [ "from robyn.tutorials.utils.data_mapper import load_data_from_json, import_input_collect, import_output_models\n", "%load_ext autoreload\n", @@ -404,9 +149438,732 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R Rolling window start: 6\n", + "R Rolling window end: 162\n", + "R Rolling window length: 157\n" + ] + } + ], + "source": [ + "print(\"R Rolling window start:\", r_mmm_data.mmmdata_spec.rolling_window_start_which)\n", + "print(\"R Rolling window end:\", r_mmm_data.mmmdata_spec.rolling_window_end_which)\n", + "print(\"R Rolling window length:\", r_mmm_data.mmmdata_spec.rolling_window_length)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python ModelOutputs Structure:\n", + " (Dict)\n", + "├── trials (List)\n", + "│ └── trials[0] (Dict)\n", + "│ ├── trials[0].result_hyp_param (DataFrame)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.train_size (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.sol_id (dtype: object)\n", + "│ │ ├── trials[0].result_hyp_param.ElapsedAccum (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.trial (dtype: int64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_train (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_val (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_test (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.decomp.rssd (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.mape (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.iterNG (dtype: int64)\n", + "│ │ └── trials[0].result_hyp_param.iterPar (dtype: int64)\n", + "│ ├── trials[0].decomp_spend_dist (DataFrame)\n", + "│ │ ├── trials[0].decomp_spend_dist.rn (dtype: object)\n", + "│ │ ├── trials[0].decomp_spend_dist.coef (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompAgg (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.total_spend (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.mean_spend (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.spend_share (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.effect_share (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompPerc (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0 (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0Perc (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.pos (dtype: bool)\n", + "│ │ ├── trials[0].decomp_spend_dist.sol_id (dtype: object)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.decomp_rssd (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.mape (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.trial (dtype: int64)\n", + "│ │ ├── trials[0].decomp_spend_dist.iterNG (dtype: int64)\n", + "│ │ ├── trials[0].decomp_spend_dist.iterPar (dtype: int64)\n", + "│ │ └── trials[0].decomp_spend_dist.Elapsed (dtype: float64)\n", + "│ ├── trials[0].x_decomp_agg (DataFrame)\n", + "│ │ ├── trials[0].x_decomp_agg.rn (dtype: object)\n", + "│ │ ├── trials[0].x_decomp_agg.coef (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompAgg (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompPerc (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0 (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0Perc (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompAggRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompPercRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0RF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0PercRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.pos (dtype: bool)\n", + "│ │ ├── trials[0].x_decomp_agg.train_size (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_train (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_val (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_test (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.decomp.rssd (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.mape (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.sol_id (dtype: object)\n", + "│ │ ├── trials[0].x_decomp_agg.trial (dtype: int64)\n", + "│ │ ├── trials[0].x_decomp_agg.iterNG (dtype: int64)\n", + "│ │ ├── trials[0].x_decomp_agg.iterPar (dtype: int64)\n", + "│ │ └── trials[0].x_decomp_agg.Elapsed (dtype: float64)\n", + "│ ├── trials[0].nrmse (dtype: Series)\n", + "│ ├── trials[0].decomp_rssd (dtype: Series)\n", + "│ ├── trials[0].mape (dtype: Series)\n", + "│ ├── trials[0].rsq_train (dtype: Series)\n", + "│ ├── trials[0].rsq_val (dtype: Series)\n", + "│ ├── trials[0].rsq_test (dtype: Series)\n", + "│ ├── trials[0].lambda_ (dtype: Series)\n", + "│ ├── trials[0].lambda_hp (dtype: Series)\n", + "│ ├── trials[0].lambda_max (dtype: Series)\n", + "│ ├── trials[0].lambda_min_ratio (dtype: Series)\n", + "│ ├── trials[0].pos (dtype: Series)\n", + "│ ├── trials[0].nrmse_train (dtype: float)\n", + "│ ├── trials[0].nrmse_val (dtype: float)\n", + "│ ├── trials[0].nrmse_test (dtype: float)\n", + "│ ├── trials[0].elapsed (dtype: Series)\n", + "│ ├── trials[0].elapsed_accum (dtype: Series)\n", + "│ ├── trials[0].trial (dtype: Series)\n", + "│ ├── trials[0].iter_ng (dtype: Series)\n", + "│ ├── trials[0].iter_par (dtype: Series)\n", + "│ ├── trials[0].train_size (dtype: Series)\n", + "│ ├── trials[0].sol_id (dtype: str)\n", + "│ └── trials[0].lift_calibration (DataFrame)\n", + "├── train_timestamp (dtype: str)\n", + "├── cores (dtype: int)\n", + "├── iterations (dtype: int)\n", + "├── intercept (dtype: bool)\n", + "├── intercept_sign (dtype: str)\n", + "├── nevergrad_algo (dtype: NevergradAlgorithm)\n", + "├── ts_validation (dtype: bool)\n", + "├── add_penalty_factor (dtype: bool)\n", + "├── hyper_updated (Dict)\n", + "│ ├── hyper_updated.facebook_S_thetas (List)\n", + "│ │ ├── hyper_updated.facebook_S_thetas[0] (dtype: int)\n", + "│ │ └── hyper_updated.facebook_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.facebook_S_alphas (List)\n", + "│ │ ├── hyper_updated.facebook_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.facebook_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.facebook_S_gammas (List)\n", + "│ │ ├── hyper_updated.facebook_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.facebook_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.print_S_thetas (List)\n", + "│ │ ├── hyper_updated.print_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.print_S_alphas (List)\n", + "│ │ ├── hyper_updated.print_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.print_S_gammas (List)\n", + "│ │ ├── hyper_updated.print_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.tv_S_thetas (List)\n", + "│ │ ├── hyper_updated.tv_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.tv_S_alphas (List)\n", + "│ │ ├── hyper_updated.tv_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.tv_S_gammas (List)\n", + "│ │ ├── hyper_updated.tv_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.search_S_thetas (List)\n", + "│ │ ├── hyper_updated.search_S_thetas[0] (dtype: int)\n", + "│ │ └── hyper_updated.search_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.search_S_alphas (List)\n", + "│ │ ├── hyper_updated.search_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.search_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.search_S_gammas (List)\n", + "│ │ ├── hyper_updated.search_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.search_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.ooh_S_thetas (List)\n", + "│ │ ├── hyper_updated.ooh_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.ooh_S_alphas (List)\n", + "│ │ ├── hyper_updated.ooh_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.ooh_S_gammas (List)\n", + "│ │ ├── hyper_updated.ooh_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.newsletter_thetas (List)\n", + "│ │ ├── hyper_updated.newsletter_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.newsletter_alphas (List)\n", + "│ │ ├── hyper_updated.newsletter_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.newsletter_gammas (List)\n", + "│ │ ├── hyper_updated.newsletter_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.lambda (List)\n", + "│ │ ├── hyper_updated.lambda[0] (dtype: int)\n", + "│ │ └── hyper_updated.lambda[1] (dtype: int)\n", + "│ └── hyper_updated.train_size (List)\n", + "│ ├── hyper_updated.train_size[0] (dtype: float)\n", + "│ └── hyper_updated.train_size[1] (dtype: float)\n", + "├── hyper_fixed (dtype: bool)\n", + "├── select_id (dtype: str)\n", + "├── hyper_bound_ng (DataFrame)\n", + "│ ├── hyper_bound_ng.facebook_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.facebook_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.facebook_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.lambda (dtype: int64)\n", + "│ └── hyper_bound_ng.train_size (dtype: float64)\n", + "├── hyper_bound_fixed (Dict)\n", + "├── seed (List)\n", + "│ └── seed[0] (dtype: int)\n", + "├── convergence (Dict)\n", + "│ ├── convergence.moo_distrb_plot (dtype: str)\n", + "│ ├── convergence.moo_cloud_plot (dtype: str)\n", + "│ ├── convergence.ts_validation_plot (dtype: NoneType)\n", + "│ ├── convergence.errors (DataFrame)\n", + "│ │ ├── convergence.errors.error_type (dtype: object)\n", + "│ │ ├── convergence.errors.cuts (dtype: float64)\n", + "│ │ ├── convergence.errors.n (dtype: int64)\n", + "│ │ ├── convergence.errors.median (dtype: float64)\n", + "│ │ ├── convergence.errors.std (dtype: float64)\n", + "│ │ ├── convergence.errors.med_var_P (dtype: float64)\n", + "│ │ ├── convergence.errors.median_first_med (dtype: float64)\n", + "│ │ ├── convergence.errors.median_first_med_avg (dtype: float64)\n", + "│ │ ├── convergence.errors.median_last_med (dtype: float64)\n", + "│ │ ├── convergence.errors.std_first_sd (dtype: float64)\n", + "│ │ ├── convergence.errors.std_first_sd_avg (dtype: float64)\n", + "│ │ ├── convergence.errors.std_last_sd (dtype: float64)\n", + "│ │ ├── convergence.errors.med_thres (dtype: float64)\n", + "│ │ ├── convergence.errors.flag_med (dtype: bool)\n", + "│ │ └── convergence.errors.flag_sd (dtype: bool)\n", + "│ └── convergence.conv_msg (List)\n", + "│ ├── convergence.conv_msg[0] (dtype: str)\n", + "│ └── convergence.conv_msg[1] (dtype: str)\n", + "├── ts_validation_plot (dtype: NoneType)\n", + "├── all_result_hyp_param (DataFrame)\n", + "│ ├── all_result_hyp_param.facebook_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.facebook_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.facebook_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda (dtype: float64)\n", + "│ ├── all_result_hyp_param.train_size (dtype: float64)\n", + "│ ├── all_result_hyp_param.sol_id (dtype: object)\n", + "│ ├── all_result_hyp_param.ElapsedAccum (dtype: float64)\n", + "│ ├── all_result_hyp_param.trial (dtype: int64)\n", + "│ ├── all_result_hyp_param.rsq_train (dtype: float64)\n", + "│ ├── all_result_hyp_param.rsq_val (dtype: float64)\n", + "│ ├── all_result_hyp_param.rsq_test (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_train (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_val (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_test (dtype: float64)\n", + "│ ├── all_result_hyp_param.decomp.rssd (dtype: float64)\n", + "│ ├── all_result_hyp_param.mape (dtype: int64)\n", + "│ ├── all_result_hyp_param.lambda_hp (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda_max (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda_min_ratio (dtype: float64)\n", + "│ ├── all_result_hyp_param.iterNG (dtype: int64)\n", + "│ └── all_result_hyp_param.iterPar (dtype: int64)\n", + "├── all_x_decomp_agg (DataFrame)\n", + "│ ├── all_x_decomp_agg.rn (dtype: object)\n", + "│ ├── all_x_decomp_agg.coef (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompAgg (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompPerc (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0 (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0Perc (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompAggRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompPercRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0RF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0PercRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.pos (dtype: bool)\n", + "│ ├── all_x_decomp_agg.train_size (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_train (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_val (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_test (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_train (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_val (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_test (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse (dtype: float64)\n", + "│ ├── all_x_decomp_agg.decomp.rssd (dtype: float64)\n", + "│ ├── all_x_decomp_agg.mape (dtype: int64)\n", + "│ ├── all_x_decomp_agg.lambda (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_hp (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_max (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_min_ratio (dtype: float64)\n", + "│ ├── all_x_decomp_agg.sol_id (dtype: object)\n", + "│ ├── all_x_decomp_agg.trial (dtype: int64)\n", + "│ ├── all_x_decomp_agg.iterNG (dtype: int64)\n", + "│ ├── all_x_decomp_agg.iterPar (dtype: int64)\n", + "│ └── all_x_decomp_agg.Elapsed (dtype: float64)\n", + "└── all_decomp_spend_dist (DataFrame)\n", + " ├── all_decomp_spend_dist.rn (dtype: object)\n", + " ├── all_decomp_spend_dist.coef (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompAgg (dtype: float64)\n", + " ├── all_decomp_spend_dist.total_spend (dtype: float64)\n", + " ├── all_decomp_spend_dist.mean_spend (dtype: float64)\n", + " ├── all_decomp_spend_dist.spend_share (dtype: float64)\n", + " ├── all_decomp_spend_dist.effect_share (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompPerc (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0 (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0Perc (dtype: float64)\n", + " ├── all_decomp_spend_dist.pos (dtype: bool)\n", + " ├── all_decomp_spend_dist.sol_id (dtype: object)\n", + " ├── all_decomp_spend_dist.rsq_train (dtype: float64)\n", + " ├── all_decomp_spend_dist.rsq_val (dtype: float64)\n", + " ├── all_decomp_spend_dist.rsq_test (dtype: float64)\n", + " ├── all_decomp_spend_dist.nrmse (dtype: float64)\n", + " ├── all_decomp_spend_dist.decomp_rssd (dtype: float64)\n", + " ├── all_decomp_spend_dist.mape (dtype: int64)\n", + " ├── all_decomp_spend_dist.lambda (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_hp (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_max (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_min_ratio (dtype: float64)\n", + " ├── all_decomp_spend_dist.trial (dtype: int64)\n", + " ├── all_decomp_spend_dist.iterNG (dtype: int64)\n", + " ├── all_decomp_spend_dist.iterPar (dtype: int64)\n", + " └── all_decomp_spend_dist.Elapsed (dtype: float64)\n", + "\n", + "R ModelOutputs Structure:\n", + " (Dict)\n", + "├── trials (List)\n", + "│ └── trials[0] (Dict)\n", + "│ ├── trials[0].result_hyp_param (DataFrame)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.facebook_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.newsletter_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ooh_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.print_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.search_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_alphas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_gammas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.tv_S_thetas (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.train_size (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_train (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_val (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse_test (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.decomp.rssd (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.mape (dtype: int64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.pos (dtype: int64)\n", + "│ │ ├── trials[0].result_hyp_param.Elapsed (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.ElapsedAccum (dtype: float64)\n", + "│ │ ├── trials[0].result_hyp_param.sol_id (dtype: object)\n", + "│ │ ├── trials[0].result_hyp_param.trial (dtype: int64)\n", + "│ │ ├── trials[0].result_hyp_param.iterNG (dtype: int64)\n", + "│ │ └── trials[0].result_hyp_param.iterPar (dtype: int64)\n", + "│ ├── trials[0].decomp_spend_dist (DataFrame)\n", + "│ │ ├── trials[0].decomp_spend_dist.rn (dtype: object)\n", + "│ │ ├── trials[0].decomp_spend_dist.coef (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompAgg (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompPerc (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0 (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0Perc (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompAggRF (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompPercRF (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0RF (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.xDecompMeanNon0PercRF (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.pos (dtype: bool)\n", + "│ │ ├── trials[0].decomp_spend_dist.mean_spend (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.total_spend (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.spend_share (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.spend_share_refresh (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.effect_share (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.effect_share_refresh (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.nrmse_train (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.nrmse_val (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.nrmse_test (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.decomp.rssd (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.mape (dtype: int64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].decomp_spend_dist.sol_id (dtype: object)\n", + "│ │ ├── trials[0].decomp_spend_dist.trial (dtype: int64)\n", + "│ │ ├── trials[0].decomp_spend_dist.iterNG (dtype: int64)\n", + "│ │ └── trials[0].decomp_spend_dist.iterPar (dtype: int64)\n", + "│ ├── trials[0].x_decomp_agg (DataFrame)\n", + "│ │ ├── trials[0].x_decomp_agg.rn (dtype: object)\n", + "│ │ ├── trials[0].x_decomp_agg.coef (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompAgg (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompPerc (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0 (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0Perc (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompAggRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompPercRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0RF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.xDecompMeanNon0PercRF (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.pos (dtype: bool)\n", + "│ │ ├── trials[0].x_decomp_agg.train_size (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_train (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_val (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.rsq_test (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_train (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_val (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse_test (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.nrmse (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.decomp.rssd (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.mape (dtype: int64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_hp (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_max (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.lambda_min_ratio (dtype: float64)\n", + "│ │ ├── trials[0].x_decomp_agg.sol_id (dtype: object)\n", + "│ │ ├── trials[0].x_decomp_agg.trial (dtype: int64)\n", + "│ │ ├── trials[0].x_decomp_agg.iterNG (dtype: int64)\n", + "│ │ └── trials[0].x_decomp_agg.iterPar (dtype: int64)\n", + "│ ├── trials[0].nrmse (dtype: Series)\n", + "│ ├── trials[0].decomp_rssd (dtype: Series)\n", + "│ ├── trials[0].mape (dtype: Series)\n", + "│ ├── trials[0].rsq_train (dtype: Series)\n", + "│ ├── trials[0].rsq_val (dtype: Series)\n", + "│ ├── trials[0].rsq_test (dtype: Series)\n", + "│ ├── trials[0].lambda_ (dtype: Series)\n", + "│ ├── trials[0].lambda_hp (dtype: Series)\n", + "│ ├── trials[0].lambda_max (dtype: Series)\n", + "│ ├── trials[0].lambda_min_ratio (dtype: Series)\n", + "│ ├── trials[0].pos (dtype: Series)\n", + "│ ├── trials[0].nrmse_train (dtype: float)\n", + "│ ├── trials[0].nrmse_val (dtype: float)\n", + "│ ├── trials[0].nrmse_test (dtype: float)\n", + "│ ├── trials[0].elapsed (dtype: Series)\n", + "│ ├── trials[0].elapsed_accum (dtype: Series)\n", + "│ ├── trials[0].trial (dtype: Series)\n", + "│ ├── trials[0].iter_ng (dtype: Series)\n", + "│ ├── trials[0].iter_par (dtype: Series)\n", + "│ ├── trials[0].train_size (dtype: Series)\n", + "│ ├── trials[0].sol_id (dtype: str)\n", + "│ └── trials[0].lift_calibration (DataFrame)\n", + "├── train_timestamp (dtype: str)\n", + "├── cores (dtype: int)\n", + "├── iterations (dtype: int)\n", + "├── intercept (dtype: bool)\n", + "├── intercept_sign (dtype: str)\n", + "├── nevergrad_algo (dtype: str)\n", + "├── ts_validation (dtype: bool)\n", + "├── add_penalty_factor (dtype: bool)\n", + "├── hyper_updated (Dict)\n", + "│ ├── hyper_updated.facebook_S_alphas (List)\n", + "│ │ ├── hyper_updated.facebook_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.facebook_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.facebook_S_gammas (List)\n", + "│ │ ├── hyper_updated.facebook_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.facebook_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.facebook_S_thetas (List)\n", + "│ │ ├── hyper_updated.facebook_S_thetas[0] (dtype: int)\n", + "│ │ └── hyper_updated.facebook_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.newsletter_alphas (List)\n", + "│ │ ├── hyper_updated.newsletter_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.newsletter_gammas (List)\n", + "│ │ ├── hyper_updated.newsletter_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.newsletter_thetas (List)\n", + "│ │ ├── hyper_updated.newsletter_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.newsletter_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.ooh_S_alphas (List)\n", + "│ │ ├── hyper_updated.ooh_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.ooh_S_gammas (List)\n", + "│ │ ├── hyper_updated.ooh_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.ooh_S_thetas (List)\n", + "│ │ ├── hyper_updated.ooh_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.ooh_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.print_S_alphas (List)\n", + "│ │ ├── hyper_updated.print_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.print_S_gammas (List)\n", + "│ │ ├── hyper_updated.print_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.print_S_thetas (List)\n", + "│ │ ├── hyper_updated.print_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.print_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.search_S_alphas (List)\n", + "│ │ ├── hyper_updated.search_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.search_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.search_S_gammas (List)\n", + "│ │ ├── hyper_updated.search_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.search_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.search_S_thetas (List)\n", + "│ │ ├── hyper_updated.search_S_thetas[0] (dtype: int)\n", + "│ │ └── hyper_updated.search_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.tv_S_alphas (List)\n", + "│ │ ├── hyper_updated.tv_S_alphas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_alphas[1] (dtype: int)\n", + "│ ├── hyper_updated.tv_S_gammas (List)\n", + "│ │ ├── hyper_updated.tv_S_gammas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_gammas[1] (dtype: int)\n", + "│ ├── hyper_updated.tv_S_thetas (List)\n", + "│ │ ├── hyper_updated.tv_S_thetas[0] (dtype: float)\n", + "│ │ └── hyper_updated.tv_S_thetas[1] (dtype: float)\n", + "│ ├── hyper_updated.lambda (List)\n", + "│ │ ├── hyper_updated.lambda[0] (dtype: int)\n", + "│ │ └── hyper_updated.lambda[1] (dtype: int)\n", + "│ └── hyper_updated.train_size (List)\n", + "│ ├── hyper_updated.train_size[0] (dtype: float)\n", + "│ └── hyper_updated.train_size[1] (dtype: float)\n", + "├── hyper_fixed (dtype: bool)\n", + "├── select_id (dtype: str)\n", + "├── hyper_bound_ng (DataFrame)\n", + "│ ├── hyper_bound_ng.facebook_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.facebook_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.facebook_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.newsletter_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.ooh_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.print_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.search_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_alphas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_gammas (dtype: float64)\n", + "│ ├── hyper_bound_ng.tv_S_thetas (dtype: float64)\n", + "│ ├── hyper_bound_ng.train_size (dtype: float64)\n", + "│ └── hyper_bound_ng.lambda (dtype: int64)\n", + "├── hyper_bound_fixed (DataFrame)\n", + "├── seed (List)\n", + "│ └── seed[0] (dtype: int)\n", + "├── convergence (Dict)\n", + "│ ├── convergence.moo_distrb_plot (List)\n", + "│ │ └── convergence.moo_distrb_plot[0] (dtype: str)\n", + "│ ├── convergence.moo_cloud_plot (List)\n", + "│ │ └── convergence.moo_cloud_plot[0] (dtype: str)\n", + "│ ├── convergence.errors (DataFrame)\n", + "│ │ ├── convergence.errors.error_type (dtype: object)\n", + "│ │ ├── convergence.errors.cuts (dtype: object)\n", + "│ │ ├── convergence.errors.n (dtype: int64)\n", + "│ │ ├── convergence.errors.median (dtype: float64)\n", + "│ │ ├── convergence.errors.std (dtype: float64)\n", + "│ │ ├── convergence.errors.med_var_P (dtype: float64)\n", + "│ │ ├── convergence.errors.first_med (dtype: float64)\n", + "│ │ ├── convergence.errors.first_med_avg (dtype: float64)\n", + "│ │ ├── convergence.errors.last_med (dtype: float64)\n", + "│ │ ├── convergence.errors.first_sd (dtype: float64)\n", + "│ │ ├── convergence.errors.first_sd_avg (dtype: float64)\n", + "│ │ ├── convergence.errors.last_sd (dtype: float64)\n", + "│ │ ├── convergence.errors.med_thres (dtype: float64)\n", + "│ │ ├── convergence.errors.flag_med (dtype: bool)\n", + "│ │ └── convergence.errors.flag_sd (dtype: bool)\n", + "│ └── convergence.conv_msg (List)\n", + "│ ├── convergence.conv_msg[0] (dtype: str)\n", + "│ └── convergence.conv_msg[1] (dtype: str)\n", + "├── ts_validation_plot (List)\n", + "│ └── ts_validation_plot[0] (dtype: str)\n", + "├── all_result_hyp_param (DataFrame)\n", + "│ ├── all_result_hyp_param.facebook_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.facebook_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.facebook_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.newsletter_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.ooh_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.print_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.search_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_alphas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_gammas (dtype: float64)\n", + "│ ├── all_result_hyp_param.tv_S_thetas (dtype: float64)\n", + "│ ├── all_result_hyp_param.train_size (dtype: float64)\n", + "│ ├── all_result_hyp_param.rsq_train (dtype: float64)\n", + "│ ├── all_result_hyp_param.rsq_val (dtype: float64)\n", + "│ ├── all_result_hyp_param.rsq_test (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_train (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_val (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse_test (dtype: float64)\n", + "│ ├── all_result_hyp_param.nrmse (dtype: float64)\n", + "│ ├── all_result_hyp_param.decomp.rssd (dtype: float64)\n", + "│ ├── all_result_hyp_param.mape (dtype: int64)\n", + "│ ├── all_result_hyp_param.lambda (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda_hp (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda_max (dtype: float64)\n", + "│ ├── all_result_hyp_param.lambda_min_ratio (dtype: float64)\n", + "│ ├── all_result_hyp_param.pos (dtype: int64)\n", + "│ ├── all_result_hyp_param.Elapsed (dtype: float64)\n", + "│ ├── all_result_hyp_param.ElapsedAccum (dtype: float64)\n", + "│ ├── all_result_hyp_param.sol_id (dtype: object)\n", + "│ ├── all_result_hyp_param.trial (dtype: int64)\n", + "│ ├── all_result_hyp_param.iterNG (dtype: int64)\n", + "│ └── all_result_hyp_param.iterPar (dtype: int64)\n", + "├── all_x_decomp_agg (DataFrame)\n", + "│ ├── all_x_decomp_agg.rn (dtype: object)\n", + "│ ├── all_x_decomp_agg.coef (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompAgg (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompPerc (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0 (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0Perc (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompAggRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompPercRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0RF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.xDecompMeanNon0PercRF (dtype: float64)\n", + "│ ├── all_x_decomp_agg.pos (dtype: bool)\n", + "│ ├── all_x_decomp_agg.train_size (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_train (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_val (dtype: float64)\n", + "│ ├── all_x_decomp_agg.rsq_test (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_train (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_val (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse_test (dtype: float64)\n", + "│ ├── all_x_decomp_agg.nrmse (dtype: float64)\n", + "│ ├── all_x_decomp_agg.decomp.rssd (dtype: float64)\n", + "│ ├── all_x_decomp_agg.mape (dtype: int64)\n", + "│ ├── all_x_decomp_agg.lambda (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_hp (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_max (dtype: float64)\n", + "│ ├── all_x_decomp_agg.lambda_min_ratio (dtype: float64)\n", + "│ ├── all_x_decomp_agg.sol_id (dtype: object)\n", + "│ ├── all_x_decomp_agg.trial (dtype: int64)\n", + "│ ├── all_x_decomp_agg.iterNG (dtype: int64)\n", + "│ └── all_x_decomp_agg.iterPar (dtype: int64)\n", + "└── all_decomp_spend_dist (DataFrame)\n", + " ├── all_decomp_spend_dist.rn (dtype: object)\n", + " ├── all_decomp_spend_dist.coef (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompAgg (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompPerc (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0 (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0Perc (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompAggRF (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompPercRF (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0RF (dtype: float64)\n", + " ├── all_decomp_spend_dist.xDecompMeanNon0PercRF (dtype: float64)\n", + " ├── all_decomp_spend_dist.pos (dtype: bool)\n", + " ├── all_decomp_spend_dist.mean_spend (dtype: float64)\n", + " ├── all_decomp_spend_dist.total_spend (dtype: float64)\n", + " ├── all_decomp_spend_dist.spend_share (dtype: float64)\n", + " ├── all_decomp_spend_dist.spend_share_refresh (dtype: float64)\n", + " ├── all_decomp_spend_dist.effect_share (dtype: float64)\n", + " ├── all_decomp_spend_dist.effect_share_refresh (dtype: float64)\n", + " ├── all_decomp_spend_dist.rsq_train (dtype: float64)\n", + " ├── all_decomp_spend_dist.rsq_val (dtype: float64)\n", + " ├── all_decomp_spend_dist.rsq_test (dtype: float64)\n", + " ├── all_decomp_spend_dist.nrmse_train (dtype: float64)\n", + " ├── all_decomp_spend_dist.nrmse_val (dtype: float64)\n", + " ├── all_decomp_spend_dist.nrmse_test (dtype: float64)\n", + " ├── all_decomp_spend_dist.nrmse (dtype: float64)\n", + " ├── all_decomp_spend_dist.decomp.rssd (dtype: float64)\n", + " ├── all_decomp_spend_dist.mape (dtype: int64)\n", + " ├── all_decomp_spend_dist.lambda (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_hp (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_max (dtype: float64)\n", + " ├── all_decomp_spend_dist.lambda_min_ratio (dtype: float64)\n", + " ├── all_decomp_spend_dist.sol_id (dtype: object)\n", + " ├── all_decomp_spend_dist.trial (dtype: int64)\n", + " ├── all_decomp_spend_dist.iterNG (dtype: int64)\n", + " └── all_decomp_spend_dist.iterPar (dtype: int64)\n" + ] + } + ], "source": [ "# new anytree\n", "\n", @@ -474,7 +150231,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -541,9 +150298,248 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting detailed value comparison...\n", + "\n", + "1. Basic Model Configuration Comparison:\n", + "\n", + "Debugging attribute types:\n", + "train_timestamp - Python type: | R type: \n", + "train_timestamp - Python value: 2024-12-04 13:19:21 | R value: 2024-11-29 20:22:31\n", + "--------------------------------------------------\n", + "cores - Python type: | R type: \n", + "cores - Python value: 10 | R value: 9\n", + "--------------------------------------------------\n", + "iterations - Python type: | R type: \n", + "iterations - Python value: 2000 | R value: 50\n", + "--------------------------------------------------\n", + "intercept - Python type: | R type: \n", + "intercept - Python value: True | R value: True\n", + "--------------------------------------------------\n", + "intercept_sign - Python type: | R type: \n", + "intercept_sign - Python value: non_negative | R value: non_negative\n", + "--------------------------------------------------\n", + "nevergrad_algo - Python type: | R type: \n", + "nevergrad_algo - Python value: NevergradAlgorithm.TWO_POINTS_DE | R value: TwoPointsDE\n", + "--------------------------------------------------\n", + "ts_validation - Python type: | R type: \n", + "ts_validation - Python value: True | R value: True\n", + "--------------------------------------------------\n", + "add_penalty_factor - Python type: | R type: \n", + "add_penalty_factor - Python value: False | R value: False\n", + "--------------------------------------------------\n", + "\n", + "2. Trial Results Comparison (Descriptive Statistics):\n", + "\n", + "Python Trial Descriptive Statistics:\n", + " nrmse decomp_rssd \\\n", + "count 5 5 \n", + "unique 5 5 \n", + "top 0 0.078613\n", + "dtype: float64 0 0.012509\n", + "dtype: float64 \n", + "freq 1 1 \n", + "\n", + " mape rsq_train \\\n", + "count 5 5 \n", + "unique 5 5 \n", + "top 0 0\n", + "dtype: int64 0 0.928066\n", + "dtype: float64 \n", + "freq 1 1 \n", + "\n", + " rsq_val rsq_test \\\n", + "count 5 5 \n", + "unique 5 5 \n", + "top 0 0.825547\n", + "dtype: float64 0 0.840669\n", + "dtype: float64 \n", + "freq 1 1 \n", + "\n", + " lambda_ lambda_hp \\\n", + "count 5 5 \n", + "unique 5 5 \n", + "top 0 1.282453e+07\n", + "dtype: float64 0 0.831389\n", + "dtype: float64 \n", + "freq 1 1 \n", + "\n", + " lambda_max lambda_min_ratio \n", + "count 5 5 \n", + "unique 5 5 \n", + "top 0 6.060179e+07\n", + "dtype: float64 0 0.0001\n", + "dtype: float64 \n", + "freq 1 1 \n", + "\n", + "R Trial Descriptive Statistics:\n", + " nrmse decomp_rssd mape rsq_train rsq_val rsq_test \\\n", + "count 1.000000 1.000000 1.0 1.000000 1.000000 1.000000 \n", + "mean 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "std NaN NaN NaN NaN NaN NaN \n", + "min 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "25% 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "50% 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "75% 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "max 0.307666 0.727865 0.0 0.041627 -0.537145 -0.330453 \n", + "\n", + " lambda_ lambda_hp lambda_max lambda_min_ratio \n", + "count 1.000000e+00 1.000000 1.000000e+00 1.0000 \n", + "mean 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "std NaN NaN NaN NaN \n", + "min 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "25% 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "50% 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "75% 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "max 3.223340e+07 0.492204 6.548109e+07 0.0001 \n", + "\n", + "Difference in Descriptive Statistics:\n", + " nrmse decomp_rssd \\\n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "count 4.0 4.0 \n", + "freq NaN NaN \n", + "max NaN NaN \n", + "mean NaN NaN \n", + "min NaN NaN \n", + "std NaN NaN \n", + "top 0 NaN\n", + "dtype: float64 0 NaN\n", + "dtype: float64 \n", + "unique NaN NaN \n", + "\n", + " mape rsq_train \\\n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "count 4.0 4.0 \n", + "freq NaN NaN \n", + "max NaN NaN \n", + "mean NaN NaN \n", + "min NaN NaN \n", + "std NaN NaN \n", + "top 0 NaN\n", + "dtype: float64 0 NaN\n", + "dtype: float64 \n", + "unique NaN NaN \n", + "\n", + " rsq_val rsq_test \\\n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "count 4.0 4.0 \n", + "freq NaN NaN \n", + "max NaN NaN \n", + "mean NaN NaN \n", + "min NaN NaN \n", + "std NaN NaN \n", + "top 0 NaN\n", + "dtype: float64 0 NaN\n", + "dtype: float64 \n", + "unique NaN NaN \n", + "\n", + " lambda_ lambda_hp \\\n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "count 4.0 4.0 \n", + "freq NaN NaN \n", + "max NaN NaN \n", + "mean NaN NaN \n", + "min NaN NaN \n", + "std NaN NaN \n", + "top 0 NaN\n", + "dtype: float64 0 NaN\n", + "dtype: float64 \n", + "unique NaN NaN \n", + "\n", + " lambda_max lambda_min_ratio \n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "count 4.0 4.0 \n", + "freq NaN NaN \n", + "max NaN NaN \n", + "mean NaN NaN \n", + "min NaN NaN \n", + "std NaN NaN \n", + "top 0 NaN\n", + "dtype: float64 0 NaN\n", + "dtype: float64 \n", + "unique NaN NaN \n", + "\n", + "3. Hyperparameter Comparison:\n", + "\n", + "Hyperparameter Values:\n", + "Parameter Python R Diff\n", + "---------------------------------------------------------------------------\n", + "facebook_S_alphas [0.5, 3] [0.5, 3] N/A\n", + "facebook_S_gammas [0.3, 1] [0.3, 1] N/A\n", + "facebook_S_thetas [0, 0.3] [0, 0.3] N/A\n", + "lambda [0, 1] [0, 1] N/A\n", + "newsletter_alphas [0.5, 3] [0.5, 3] N/A\n", + "newsletter_gammas [0.3, 1] [0.3, 1] N/A\n", + "newsletter_thetas [0.1, 0.4] [0.1, 0.4] N/A\n", + "ooh_S_alphas [0.5, 3] [0.5, 3] N/A\n", + "ooh_S_gammas [0.3, 1] [0.3, 1] N/A\n", + "ooh_S_thetas [0.1, 0.4] [0.1, 0.4] N/A\n", + "print_S_alphas [0.5, 3] [0.5, 3] N/A\n", + "print_S_gammas [0.3, 1] [0.3, 1] N/A\n", + "print_S_thetas [0.1, 0.4] [0.1, 0.4] N/A\n", + "search_S_alphas [0.5, 3] [0.5, 3] N/A\n", + "search_S_gammas [0.3, 1] [0.3, 1] N/A\n", + "search_S_thetas [0, 0.3] [0, 0.3] N/A\n", + "train_size [0.5, 0.8] [0.5, 0.8] N/A\n", + "tv_S_alphas [0.5, 3] [0.5, 3] N/A\n", + "tv_S_gammas [0.3, 1] [0.3, 1] N/A\n", + "tv_S_thetas [0.3, 0.8] [0.3, 0.8] N/A\n", + "\n", + "4. Data Shape Comparison:\n", + "all_result_hyp_param - Python shape: (10000, 37) | R shape: (54, 39)\n", + "all_x_decomp_agg - Python shape: (110000, 30) | R shape: (648, 29)\n", + "all_decomp_spend_dist - Python shape: (50000, 26) | R shape: (270, 34)\n", + "\n", + "5. Total Effect and Effect Share Comparison:\n", + "\n", + "Trial 1:\n", + "Total Effect - Python: 14669856.009339, R: 321978140.044367, Diff: 307308284.035028\n", + "Effect Share - Python: 2000.000000, R: 54.000000, Diff: 1946.000000\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n", + "/var/folders/gm/g5cpl7110m96nfd1qr1xwnwc0000gn/T/ipykernel_1878/3835541963.py:65: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", + " py_desc = py_trials_df.describe()\n" + ] + } + ], "source": [ "import pandas as pd\n", "import numpy as np\n", @@ -697,9 +150693,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Convergence Messages: ['DECOMP.RSSD NOT converged: sd@qt.20 0.033 > 0.021 & |med@qt.20| 0.73 > 0.68', 'NRMSE NOT converged: sd@qt.20 0.12 > 0.085 & |med@qt.20| 0.25 > 0.14']\n" + ] + } + ], "source": [ "# Assuming r_output_models is an instance of ModelOutputs\n", "convergence_data = r_output_models.convergence\n", @@ -716,7 +150720,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -759,7 +150763,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -797,7 +150801,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ diff --git a/python/src/robyn/tutorials/tutorial1.ipynb b/python/src/robyn/tutorials/tutorial1.ipynb index d421a0f0c..478f42401 100644 --- a/python/src/robyn/tutorials/tutorial1.ipynb +++ b/python/src/robyn/tutorials/tutorial1.ipynb @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "eb8146e8", "metadata": {}, "outputs": [], @@ -230,7 +230,7 @@ "from robyn.modeling.entities.modelrun_trials_config import TrialsConfig\n", "\n", "\n", - "trials_config = TrialsConfig(iterations=54, trials=5)\n", + "trials_config = TrialsConfig(iterations=2000, trials=5)\n", "\n", "# Run the model\n", "robyn.train_models(trials_config=trials_config,\n",