dtoolkit.pipeline.FeatureUnion.transform

FeatureUnion.transform(X)

Transform X separately by each transformer, concatenate results.

Parameters:

Xiterable or array-like, depending on transformers

Input data to be transformed.

Returns:

X_tarray-like or sparse matrix of shape (n_samples, sum_n_components)

The hstack of results of transformers. sum_n_components is the sum of n_components (output dimension) over transformers.