dtoolkit.pipeline.Pipeline.fit_predict

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

Transform the data, and apply predict with the final estimator.

Call transform of each transformer in the pipeline. The transformed data are finally passed to the final estimator that calls predict method. Only valid if the final estimator implements predict.

Parameters

Xiterable

Data to predict on. Must fulfill input requirements of first step of the pipeline.

**predict_paramsdict of string -> object

Parameters to the predict called at the end of all transformations in the pipeline. Note that while this may be used to return uncertainties from some models with return_std or return_cov, uncertainties that are generated by the transformations in the pipeline are not propagated to the final estimator.

New in version 0.20.

Returns

y_predndarray

Result of calling predict on the final estimator.