Example sklearn #5
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| test_size: float = 0.2 | ||
| model_config = pydantic.ConfigDict(extra="forbid") | ||
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| def get(self) -> tp.Tuple[np.ndarray]: |
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| def get(self) -> tp.Tuple[np.ndarray]: | |
| def get(self) -> tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: |
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| def args_to_nested_dict(args: list[str]) -> tp.Dict[str, tp.Any]: | ||
| """ | ||
| Parses a list of Bash-style arguments (e.g., --key=value) into a nested dict. | ||
| """ | ||
| nested_dict = {} | ||
| for arg in args: | ||
| # Split argument into key and value | ||
| key, value = arg.lstrip("--").split("=", 1) | ||
| # Convert flat key into a nested dictionary | ||
| keys = key.split(".") | ||
| current_level = nested_dict | ||
| for k in keys[:-1]: | ||
| current_level = current_level.setdefault(k, {}) | ||
| current_level[keys[-1]] = value | ||
| return nested_dict |
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Suggested change
| def args_to_nested_dict(args: list[str]) -> tp.Dict[str, tp.Any]: | |
| """ | |
| Parses a list of Bash-style arguments (e.g., --key=value) into a nested dict. | |
| """ | |
| nested_dict = {} | |
| for arg in args: | |
| # Split argument into key and value | |
| key, value = arg.lstrip("--").split("=", 1) | |
| # Convert flat key into a nested dictionary | |
| keys = key.split(".") | |
| current_level = nested_dict | |
| for k in keys[:-1]: | |
| current_level = current_level.setdefault(k, {}) | |
| current_level[keys[-1]] = value | |
| return nested_dict |
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| if __name__ == "__main__": | ||
| # Validate config | ||
| config = args_to_nested_dict(sys.argv[1:]) |
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| config = args_to_nested_dict(sys.argv[1:]) | |
| config = exca.ConfDict.from_args(sys.argv[1:]) |
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A minimalist example with sklearn to show how to develop and explore a model with exca.