gemseo.mlearning.regression.algos.base_regressor_settings module

Settings for the regression algorithms.

Settings BaseRegressorSettings(*, transformer=<factory>, parameters=<factory>, input_names=(), output_names=())

Bases: BaseMLSupervisedAlgoSettings

The settings common to all the regression algorithms.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

• transformer (Mapping[str, Any]) --

  By default it is set to <factory>.

• parameters (Mapping[str, Any]) --

  By default it is set to <factory>.

• input_names (Sequence[str]) --

  By default it is set to ().

• output_names (Sequence[str]) --

  By default it is set to ().

Return type:

None