get_feature_names_out

pybear.base.get_feature_names_out(input_features, feature_names_in_, n_features_in_)

Return the feature name vector for the output of a pybear estimator or transformer.

• If input_features is None, then feature_names_in_ is used as the feature names. 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.

Parameters:

input_featuresSequence[str] | None

Input features.

feature_names_in_numpy.ndarray[object] | None

The names of the features as seen during fitting. Only available if X is passed to partial_fit or fit in a container that has a header.

n_features_in_int

The number of features in X.

Returns:

_feature_names_outnumpy.ndarray[object]

The feature names for the transformed output.