Flow
sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 16-03-2018 by Egor Lomagin sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "SVC", "step_name": "SVC"}}, {"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_transformdefault: null
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

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