Flow
openmldefaults.search.default_search.DefaultSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

openmldefaults.search.default_search.DefaultSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

Visibility: public Uploaded 14-08-2018 by Jan van Rijn sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.18.1
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Automatically created scikit-learn flow.

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Parameters

cvdefault: null
defaultsdefault: [{"classifier__C": 4522.350648007936, "classifier__gamma": 0.0010782124156970831, "classifier__kernel": "rbf"}]
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iiddefault: "warn"
n_jobsdefault: 1
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: "accuracy"
verbosedefault: 0

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