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Module parameter_types

Function convert_for_hyperparameter_tuning​

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convert_for_hyperparameter_tuning(params: dict[str, Any]) -> tuple[dict[str, Any], list[str]]

Converts flat hyperparameter tuing description to hierachical description. The splitter is the '#'. Example: transforms[0]#sigmoid#p -> 10 Args: params (dict[str,Any]): Hyperparameter dict Raises: NotImplementedError: Currently only transforms as list section implemented. NotImplementedError: Currently only sigmoid transforms are implemented. ValueError: Multiple transforms list element are not supported. NotImplementedError: Currently only transforms as list section implemented. Returns: dict[str,Any],used_features[list]: Hierachical dict, used features

Function convert_to_hierarchical​

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convert_to_hierarchical(params: dict[str, Any]) -> dict[str, Any]

Converts flat hyperparameter tuing description to hierachical description. The splitter is the '#'. Example: transforms[0]#sigmoid#p -> 10 Args: params (dict[str,Any]): Hyperparameter dict Raises: NotImplementedError: Currently only transforms as list section implemented. NotImplementedError: Currently only sigmoid transforms are implemented. ValueError: Multiple transforms list element are not supported. NotImplementedError: Currently only transforms as list section implemented. Returns: dict[str,Any]: Hierachical dict

Function get_casting​

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get_casting(model_type: str) -> dict

Returns type casting relevant for hyperparameters. Args: model_type (str): model type Raises: NotImplementedError: Raised if model_type not available Returns: dict: casting dict