DEVELOPMENT... OpenML
Flow
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))

Visibility: public Uploaded 28-02-2018 by Morgan Bentley sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 0 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: 3
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_paramsdefault: null
iiddefault: true
n_iterdefault: 50
n_jobsdefault: 1
param_distributionsdefault: {"clf__bootstrap": [true, false], "clf__max_features": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": 0.1, "scale": 0.8}}}, "clf__min_samples_leaf": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 19, "args": [], "kwds": {"low": 1, "high": 20}}}, "clf__min_samples_split": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 2, "b": 19, "args": [], "kwds": {"low": 2, "high": 20}}}}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: null
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: null
verbosedefault: 0

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