Flow
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))

sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,imputer=sklearn.impute.SimpleImputer,svm=sklearn.svm.classes.SVC))

Visibility: public Uploaded 02-04-2019 by Munira Alballa sklearn==0.20.3 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.3
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Automatically created scikit-learn flow.

Components

Parameters

cvdefault: 5
error_scoredefault: "raise-deprecating"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_paramsdefault: null
iiddefault: "warn"
n_jobsdefault: null
param_griddefault: {"svm__C": [2], "svm__gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.1, 0.25, 0.5, 1]}
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: null
verbosedefault: 0

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