dtoolkit.pipeline.Pipeline.inverse_transform#

Pipeline.inverse_transform(Xt, **params) → ndarray | Series | DataFrame[source]#

Apply inverse_transform for each step in a reverse order.

All estimators in the pipeline must support inverse_transform.

Parameters:

Xtarray-like of shape (n_samples, n_transformed_features): Data samples, where n_samples is the number of samples and n_features is the number of features. Must fulfill input requirements of last step of pipeline’s inverse_transform method.
**paramsdict of str -> object: Parameters requested and accepted by steps. Each step must have requested certain metadata for these parameters to be forwarded to them.

New in version 1.4: Only available if enable_metadata_routing=True. See Metadata Routing User Guide for more details.

Returns:

Xtndarray of shape (n_samples, n_features): Inverse transformed data, that is, data in the original feature space.