gemseo / mlearning / data_formatters

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regression_data_formatters module

Data formatters for regression algorithms.

class gemseo.mlearning.data_formatters.regression_data_formatters.RegressionDataFormatters[source]

Bases: SupervisedDataFormatters

Data formatters for regression algorithms.

classmethod format_dict_jacobian(func)[source]

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)[source]

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]