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)