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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 15-03-2018 by sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 2 runs
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Automatically created scikit-learn flow.

Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "lr", "step_name": "lr"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "knn", "step_name": "knn"}}]
flatten_transform		default: null
n_jobs		default: 1
voting		default: "hard"
weights		default: null

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sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.Normalizer,PCA=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.neighbors.classification.KNeighborsClassifier)

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