ertk.transform.GroupTransformWrapper

class ertk.transform.GroupTransformWrapper(transformer: TransformerMixin)

Bases: TransformerMixin, BaseEstimator

Transform that modifies groups independently without storing parameters.

__init__(transformer: TransformerMixin) → None

Methods

__init__(transformer)

fit(X[, y])

set_transform_request(*[, groups])

Request metadata passed to the transform method.

transform(X[, groups])

Inherited Methods

fit_transform(X[, y])

Fit to data, then transform it.

get_metadata_routing()

Get metadata routing of this object.

get_params([deep])

Get parameters for this estimator.

set_output(*[, transform])

Set output container.

set_params(**params)

Set the parameters of this estimator.
set_transform_request(*, groups: bool | None | str = '$UNCHANGED$') → GroupTransformWrapper

Request metadata passed to the transform method.

Note that this method is only relevant if enable_metadata_routing=True (see sklearn.set_config()). Please see User Guide on how the routing mechanism works.

The options for each parameter are:

  • True: metadata is requested, and passed to transform if provided. The request is ignored if metadata is not provided.

  • False: metadata is not requested and the meta-estimator will not pass it to transform.

  • None: metadata is not requested, and the meta-estimator will raise an error if the user provides it.

  • str: metadata should be passed to the meta-estimator with this given alias instead of the original name.

The default (sklearn.utils.metadata_routing.UNCHANGED) retains the existing request. This allows you to change the request for some parameters and not others.

New in version 1.3.

Note

This method is only relevant if this estimator is used as a sub-estimator of a meta-estimator, e.g. used inside a Pipeline. Otherwise it has no effect.

Parameters:
groupsstr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for groups parameter in transform.

Returns:
selfobject

The updated object.