Flow
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))

Visibility: public Uploaded 01-09-2017 by Jan van Rijn sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 30 runs
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  • openml-python python scikit-learn sklearn sklearn_0.18.1 Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Components

Parameters

cvdefault: null
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iiddefault: true
n_iterdefault: 3
n_jobsdefault: -1
param_distributionsdefault: {"classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmlstudy14.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"low": 3.0517578125e-05, "base": 2, "high": 8}}}, "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmlstudy14.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"low": 1e-05, "base": 2, "high": 0.1}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: 1
refitdefault: true
return_train_scoredefault: true
scoringdefault: null
verbosedefault: 0

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