sklearn.base.OneToOneFeatureMixin

class sklearn.base.OneToOneFeatureMixin[source]

Provides get_feature_names_out for simple transformers.

This mixin assumes there’s a 1-to-1 correspondence between input features and output features, such as StandardScaler.

Methods

get_feature_names_out([input_features])

Get output feature names for transformation.
get_feature_names_out(input_features=None)[source]

Get output feature names for transformation.

Parameters:
input_featuresarray-like of str or None, default=None

Input features.

  • If input_features is None, then feature_names_in_ is used as feature names in. If feature_names_in_ is not defined, then the following input feature names are generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"].

  • If input_features is an array-like, then input_features must match feature_names_in_ if feature_names_in_ is defined.

Returns:
feature_names_outndarray of str objects

Same as input features.