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sklearn.ensemble.voting_classifier.VotingClassifier(bnb=sklearn.pipeline.Pipeline(bnb=sklearn.naive_bayes.BernoulliNB),gb=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier),rf=sklearn.pipeline.Pipeline(rf=sklearn.ensemble.forest.RandomForestClassifier))

sklearn.ensemble.voting_classifier.VotingClassifier(bnb=sklearn.pipeline.Pipeline(bnb=sklearn.naive_bayes.BernoulliNB),gb=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,estimator=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier),rf=sklearn.pipeline.Pipeline(rf=sklearn.ensemble.forest.RandomForestClassifier))

Visibility: public Uploaded 14-03-2018 by sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 1 runs
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Automatically created scikit-learn flow.

Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "bnb", "step_name": "bnb"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gb", "step_name": "gb"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}]
flatten_transform		default: null
n_jobs		default: 1
voting		default: "soft"
weights		default: null

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