dtoolkit.pipeline.Pipeline.fit_transform

Pipeline.fit_transform(X, y=None, **fit_params) → Union[ndarray, Series, DataFrame]

Fit the model and transform with the final estimator.

Fits all the transformers one after the other and transform the data. Then uses fit_transform on transformed data with the final estimator.

Parameters

Xiterable

Training data. Must fulfill input requirements of first step of the pipeline.

yiterable, default=None

Training targets. Must fulfill label requirements for all steps of the pipeline.

**fit_paramsdict of string -> object

Parameters passed to the fit method of each step, where each parameter name is prefixed such that parameter p for step s has key s__p.

Returns

Xtndarray of shape (n_samples, n_transformed_features)

Transformed samples.