DEVELOPMENT... OpenML
Flow
skopt.searchcv.BayesSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)))

skopt.searchcv.BayesSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)))

Visibility: public Uploaded 03-09-2018 by Jason 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

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: 2
n_jobsdefault: 1
n_pointsdefault: 1
optimizer_kwargsdefault: {"base_estimator": "RF"}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: 42
refitdefault: true
return_train_scoredefault: false
scoringdefault: "accuracy"
search_spacesdefault: {"classifier__algorithm": {"oml-python:serialized_object": "skopt_space", "value": "skopt.space.space.Categorical(categories=('SAMME.R', 'SAMME'), prior=None)"}, "classifier__base_estimator__max_depth": {"oml-python:serialized_object": "skopt_space", "value": "skopt.space.space.Integer(low=1, high=10)"}, "classifier__learning_rate": {"oml-python:serialized_object": "skopt_space", "value": "skopt.space.space.Real(low=0.01, high=2.0, prior='uniform', transform='identity')"}, "classifier__n_estimators": {"oml-python:serialized_object": "skopt_space", "value": "skopt.space.space.Integer(low=50, high=500)"}, "imputation__strategy": {"oml-python:serialized_object": "skopt_space", "value": "skopt.space.space.Categorical(categories=('mean', 'median', 'most_frequent'), prior=None)"}}
verbosedefault: 0

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