regression_data_formatters module¶

Data formatters for regression algorithms.

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

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[[MLRegressionAlgo, ndarray, Any, ...], ndarray]) – 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[[MLRegressionAlgo, DataType, Any, …], DataType]

classmethod transform_jacobian(func)[source]

Apply transformation to inputs and inverse transformation to outputs.

Parameters:: func (Callable[[MLRegressionAlgo, ndarray, Any, ...], ndarray]) – 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[[MLRegressionAlgo, ndarray, Any, …], ndarray]