gemseo.mlearning.regression.algos.moe_settings module

Settings of the mixture of experts.

Settings MOE_Settings(*, transformer=None, parameters=None, input_names=(), output_names=(), hard=True)

Bases: BaseRegressorSettings

The settings of the mixture of experts.

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])

• parameters (Mapping[str, Any])

• input_names (Sequence[str]) --

  By default it is set to ().

• output_names (Sequence[str]) --

  By default it is set to ().

• hard (bool) --

  By default it is set to True.

Return type:

None

hard: bool = True

Whether to use a hard classification.