sklearn.pipeline.make_union

sklearn.pipeline.make_union(*transformers)

Construct a FeatureUnion from the given transformers.

This is a shorthand for the FeatureUnion constructor; it does not require, and does not permit, naming the transformers. Instead, they will be given names automatically based on their types. It also does not allow weighting.

Returns:f : FeatureUnion

Examples

>>> from sklearn.decomposition import PCA, TruncatedSVD
>>> make_union(PCA(), TruncatedSVD())    
FeatureUnion(n_jobs=1,
             transformer_list=[('pca', PCA(copy=True, n_components=None,
                                           whiten=False)),
                               ('truncatedsvd',
                                TruncatedSVD(algorithm='randomized',
                                             n_components=2, n_iter=5,
                                             random_state=None, tol=0.0))],
             transformer_weights=None)