Flow
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC))

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC))

Visibility: public Uploaded 11-03-2018 by Michiel Verburg sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Components

estimatorsklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC)(1)

Parameters

cvdefault: 5
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_paramsdefault: null
iiddefault: true
n_jobsdefault: 1
param_griddefault: {"classifier__C": [0.001, 0.01, 0.1, 1, 10, 100], "classifier__gamma": [0.001, 0.005, 0.01, 0.1, 1, 10, 100], "classifier__kernel": ["rbf", "poly", "sigmoid"]}
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: null
verbosedefault: 0

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