dtoolkit.pipeline.Pipeline.score_samples#

Pipeline.score_samples(X)#

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

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

Parameters:
Xiterable

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

Returns:
y_scorendarray of shape (n_samples,)

Result of calling score_samples on the final estimator.