sklearn.pipeline.make_pipeline(*steps, **kwargs)
[source]
Construct a Pipeline from the given estimators.
This is a shorthand for the Pipeline constructor; it does not require, and does not permit, naming the estimators. Instead, their names will be set to the lowercase of their types automatically.
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See also
sklearn.pipeline.Pipeline
>>> from sklearn.naive_bayes import GaussianNB >>> from sklearn.preprocessing import StandardScaler >>> make_pipeline(StandardScaler(), GaussianNB(priors=None)) ... Pipeline(memory=None, steps=[('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('gaussiannb', GaussianNB(priors=None, var_smoothing=1e-09))])
sklearn.pipeline.make_pipeline
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Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_pipeline.html