hyperparameter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "datadir = './relabeled_data/data'\n",
    "\n",
    "X_train = pd.read_csv(f'{datadir}X_train.csv')\n",
    "y_train = pd.read_csv(f'{datadir}y_train.csv')\n",
    "X_test = pd.read_csv(f'{datadir}X_test.csv')\n",
    "y_test = pd.read_csv(f'{datadir}y_test.csv')\n",
    "\n",
    "\n",
    "X_train_norm = X_train.drop(['Ncodons'], axis = 1)\n",
    "X_test_norm = X_test.drop(['Ncodons'], axis = 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 28 candidates, totalling 140 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'n_neighbors': 1, 'p': 1, 'weights': 'distance'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:824: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: \n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 813, in _score\n",
      "    scores = scorer(estimator, X_test, y_test)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_scorer.py\", line 527, in __call__\n",
      "    return estimator.score(*args, **kwargs)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py\", line 705, in score\n",
      "    return accuracy_score(y, self.predict(X), sample_weight=sample_weight)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py\", line 246, in predict\n",
      "    if self._fit_method == \"brute\" and ArgKminClassMode.is_usable_for(\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 471, in is_usable_for\n",
      "    ArgKmin.is_usable_for(X, Y, metric)\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 115, in is_usable_for\n",
      "    and (is_numpy_c_ordered(X) or is_valid_sparse_matrix(X))\n",
      "  File \"/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/metrics/_pairwise_distances_reduction/_dispatcher.py\", line 99, in is_numpy_c_ordered\n",
      "    return hasattr(X, \"flags\") and X.flags.c_contiguous\n",
      "AttributeError: 'Flags' object has no attribute 'c_contiguous'\n",
      "\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/model_selection/_search.py:976: UserWarning: One or more of the test scores are non-finite: [       nan 0.89920042        nan 0.86859537        nan 0.89742289\n",
      "        nan 0.86474493        nan 0.89357264        nan 0.85773527\n",
      "        nan 0.8872538         nan 0.85299662        nan 0.88527937\n",
      "        nan 0.84865294        nan 0.88054058        nan 0.84756721\n",
      "        nan 0.87836823        nan 0.84134732]\n",
      "  warnings.warn(\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/neighbors/_classification.py:228: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return self._fit(X, y)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "knn = KNeighborsClassifier()\n",
    "params = {\n",
    "    'n_neighbors': [1,3,5,7,9,11,13],\n",
    "    'weights': ['uniform', 'distance'],\n",
    "    'p': [1,2]\n",
    "}\n",
    "\n",
    "clf = GridSearchCV(\n",
    "    estimator=knn,\n",
    "    param_grid=params,\n",
    "    cv=5,\n",
    "    n_jobs=5,\n",
    "    verbose=1\n",
    ")\n",
    "clf.fit(X_train_norm, y_train)\n",
    "print(clf.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n",
      "/Users/yingrongchen/anaconda3/envs/general/lib/python3.10/site-packages/sklearn/base.py:1151: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  return fit_method(estimator, *args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "import numpy as np\n",
    "\n",
    "random_grid = {\n",
    " 'max_depth': [10, 50, 100, 200],\n",
    " 'min_samples_leaf': [1, 2, 4],\n",
    " 'n_estimators': [400, 800, 1200, 1600, 1800]}\n",
    "\n",
    "rf = RandomForestClassifier()\n",
    "clf = GridSearchCV(\n",
    "    estimator=rf,\n",
    "    param_grid=random_grid,\n",
    "    cv=5,\n",
    "    n_jobs=2,\n",
    ")\n",
    "clf.fit(X_train_norm, y_train)\n",
    "print(clf.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neural_network import MLPClassifier\n",
    "mlp = MLPClassifier(max_iter=100)\n",
    "# defining parameter range \n",
    "MLP_grid = {\n",
    "    'hidden_layer_sizes': [(64,600,600,300,150), (50,100,50), (100,)]\n",
    "}\n",
    "  \n",
    "clf = GridSearchCV(mlp, MLP_grid,     cv=5,\n",
    "    n_jobs=5,\n",
    "    verbose=1)\n",
    "  \n",
    "clf.fit(X_train_norm, y_train)\n",
    "print(clf.best_params_)"
   ]
  }
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