gemseo.mlearning.core.algos.unsupervised_settings module

Settings for the unsupervised machine learning algorithms.

Settings BaseMLUnsupervisedAlgoSettings(*, transformer=<factory>, parameters=<factory>, var_names=())

Bases: BaseMLAlgoSettings

The settings common to all the unsupervised machine learning 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>.

• var_names (Sequence[str]) --

  By default it is set to ().

Return type:

None

var_names: Sequence[str] = ()

The names of the variables.