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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)

sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 14-03-2018 by Julie sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 7 runs
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Automatically created scikit-learn flow.

Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "kn", "step_name": "kn"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gnb", "step_name": "gnb"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logreg", "step_name": "logreg"}}]
flatten_transform		default: null
n_jobs		default: -1
voting		default: "soft"
weights		default: null

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sklearn.ensemble.voting_classifier.VotingClassifier(svc=sklearn.svm.classes.SVC,kn=sklearn.neighbors.classification.KNeighborsClassifier,gnb=sklearn.naive_bayes.GaussianNB,logreg=sklearn.linear_model.logistic.LogisticRegression)

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