Flow
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier),svc=sklearn.pipeline.Pipeline(Classifier3=sklearn.svm.classes.SVC))

sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.pipeline.Pipeline(Classifier2=sklearn.linear_model.logistic.LogisticRegression),knn=sklearn.pipeline.Pipeline(Scaler1=sklearn.preprocessing.data.Normalizer,PCA1=sklearn.decomposition.pca.PCA,Classifier1=sklearn.neighbors.classification.KNeighborsClassifier),svc=sklearn.pipeline.Pipeline(Classifier3=sklearn.svm.classes.SVC))

Visibility: public Uploaded 15-03-2018 by Bhoomica Nataraja sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 2 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": "lr", "step_name": "lr"}}, {"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: null

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