dtoolkit.pipeline.Pipeline.transform#
- Pipeline.transform(X, **params) ndarray | Series | DataFrame[source]#
Transform the data, and apply transform with the final estimator.
Call transform of each transformer in the pipeline. The transformed data are finally passed to the final estimator that calls transform method. Only valid if the final estimator implements transform.
This also works where final estimator is None in which case all prior transformations are applied.
- Parameters:
- Xiterable
Data to transform. Must fulfill input requirements of first step of the pipeline.
- **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_transformed_features)
Transformed data.