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sklearn.ensemble.voting_classifier.VotingClassifier(pipe=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),dt=sklearn.tree.tree.DecisionTreeClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC)

sklearn.ensemble.voting_classifier.VotingClassifier(pipe=sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,Decomposition=sklearn.decomposition.pca.PCA,Classifier=sklearn.linear_model.logistic.LogisticRegression),dt=sklearn.tree.tree.DecisionTreeClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.svm.classes.SVC)

Visibility: public Uploaded 15-03-2018 by Connor sklearn==0.19.0 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.0
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Automatically created scikit-learn flow.

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "pipe", "step_name": "pipe"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "dt", "step_name": "dt"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "knn", "step_name": "knn"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
flatten_transformdefault: null
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: [1, 1, 1, 2]

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