Flow
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,svm=sklearn.svm.classes.SVC))

Visibility: public Uploaded 12-03-2018 by Christian Sanders 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.

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Parameters

cvdefault: 10
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_paramsdefault: null
iiddefault: true
n_iterdefault: 20
n_jobsdefault: 1
param_distributionsdefault: {"svm__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.expon_gen", "a": 0.0, "b": Infinity, "args": [], "kwds": {"scale": 100}}}, "svm__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.expon_gen", "a": 0.0, "b": Infinity, "args": [], "kwds": {"scale": 0.1}}}}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: null
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: null
verbosedefault: 0

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