OpenML
sklearn.model_selection._search.RandomizedSearchCV(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))

sklearn.model_selection._search.RandomizedSearchCV(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.

Components

estimatorsklearn.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)(3)

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: 1
n_jobsdefault: -1
param_distributionsdefault: {"classifier__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 0.03125, "b": 32768.0, "args": [2, 0.03125, 32768.0], "kwds": {}}}, "classifier__coef0": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": -1.0, "scale": 2.0}}}, "classifier__degree": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 5, "args": [1, 6], "kwds": {}}}, "classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8.0, "args": [2, 3.0517578125e-05, 8.0], "kwds": {}}}, "classifier__kernel": ["rbf", "poly", "sigmoid"], "classifier__max_iter": [-1], "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmldefaults.search.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [2, 1e-05, 0.1], "kwds": {}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: 42
refitdefault: true
return_train_scoredefault: true
scoringdefault: "accuracy"
verbosedefault: 0

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