gemseo.mlearning.regression.algos.regressor_chain_settings module#

Settings of the regressor chains.

Settings RegressorChain_Settings(*, transformer=<factory>, parameters=<factory>, input_names=(), output_names=())[source]#

Bases: BaseRegressorSettings

The settings of the regressor chain.

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