gemseo.mlearning.data_formatters.regression_data_formatters module

Data formatters for regression algorithms.

class RegressionDataFormatters

Bases: SupervisedDataFormatters

Data formatters for regression algorithms.

classmethod format_dict_jacobian(func)

Make an array-based function callable with a dictionary of NumPy arrays.

Parameters:

func (Callable[[BaseRegressor, RealArray, Any, ...], RealArray]) -- The function to be called; it takes a NumPy array in input and returns a NumPy array.

Returns:

The wrapped func function, callable with either a NumPy data array or a dictionary of numpy data arrays indexed by variables names. The return value will have the same type as the input data.

Return type:

Callable[[BaseRegressor, DataType, Any, ...], DataType]

classmethod transform_jacobian(func)

Apply transformation to inputs and inverse transformation to outputs.

Parameters:

func (Callable[[BaseRegressor, RealArray, Any, ...], RealArray]) -- The function of interest to be called.

Returns:

A function evaluating the function func, after transforming its input data and/or before transforming its output data.

Return type:

Callable[[BaseRegressor, RealArray, Any, ...], RealArray]