class sklearn.pipeline.FeatureUnion(transformer_list, n_jobs=None, transformer_weights=None)
[source]
Concatenates results of multiple transformer objects.
This estimator applies a list of transformer objects in parallel to the input data, then concatenates the results. This is useful to combine several feature extraction mechanisms into a single transformer.
Parameters of the transformers may be set using its name and the parameter name separated by a ‘__’. A transformer may be replaced entirely by setting the parameter with its name to another transformer, or removed by setting to ‘drop’ or None
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Read more in the User Guide.
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See also
sklearn.pipeline.make_union
>>> from sklearn.pipeline import FeatureUnion >>> from sklearn.decomposition import PCA, TruncatedSVD >>> union = FeatureUnion([("pca", PCA(n_components=1)), ... ("svd", TruncatedSVD(n_components=2))]) >>> X = [[0., 1., 3], [2., 2., 5]] >>> union.fit_transform(X) array([[ 1.5 , 3.0..., 0.8...], [-1.5 , 5.7..., -0.4...]])
fit (X[, y]) | Fit all transformers using X. |
fit_transform (X[, y]) | Fit all transformers, transform the data and concatenate results. |
get_feature_names () | Get feature names from all transformers. |
get_params ([deep]) | Get parameters for this estimator. |
set_params (**kwargs) | Set the parameters of this estimator. |
transform (X) | Transform X separately by each transformer, concatenate results. |
__init__(transformer_list, n_jobs=None, transformer_weights=None)
[source]
fit(X, y=None)
[source]
Fit all transformers using X.
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fit_transform(X, y=None, **fit_params)
[source]
Fit all transformers, transform the data and concatenate results.
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get_feature_names()
[source]
Get feature names from all transformers.
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get_params(deep=True)
[source]
Get parameters for this estimator.
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set_params(**kwargs)
[source]
Set the parameters of this estimator.
Valid parameter keys can be listed with get_params()
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transform(X)
[source]
Transform X separately by each transformer, concatenate results.
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sklearn.pipeline.FeatureUnion
© 2007–2018 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html