simpleml.models.classifiers.sklearn.ensemble module¶
Wrapper module around sklearn.ensemble
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnAdaBoostClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnBaggingClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnExtraTreesClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnGradientBoostingClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnRandomForestClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.SklearnVotingClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier-
created_timestamp¶
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feature_metadata¶
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filepaths¶
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has_external_files¶
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hash_¶
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id¶
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metadata_¶
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modified_timestamp¶
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name¶
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params¶
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pipeline¶
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pipeline_id¶
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project¶
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registered_name¶
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version¶
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version_description¶
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnAdaBoostClassifier(base_estimator=None, n_estimators=50, learning_rate=1.0, algorithm='SAMME.R', random_state=None)[source]¶ Bases:
sklearn.ensemble.weight_boosting.AdaBoostClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnBaggingClassifier(base_estimator=None, n_estimators=10, max_samples=1.0, max_features=1.0, bootstrap=True, bootstrap_features=False, oob_score=False, warm_start=False, n_jobs=None, random_state=None, verbose=0)[source]¶ Bases:
sklearn.ensemble.bagging.BaggingClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnExtraTreesClassifier(n_estimators='warn', criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, bootstrap=False, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None)[source]¶ Bases:
sklearn.ensemble.forest.ExtraTreesClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnGradientBoostingClassifier(loss='deviance', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, min_impurity_decrease=0.0, min_impurity_split=None, init=None, random_state=None, max_features=None, verbose=0, max_leaf_nodes=None, warm_start=False, presort='auto', validation_fraction=0.1, n_iter_no_change=None, tol=0.0001)[source]¶ Bases:
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnRandomForestClassifier(n_estimators='warn', criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False, class_weight=None)[source]¶ Bases:
sklearn.ensemble.forest.RandomForestClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.ensemble.WrappedSklearnVotingClassifier(estimators, voting='hard', weights=None, n_jobs=None, flatten_transform=None)[source]¶ Bases:
sklearn.ensemble.voting_classifier.VotingClassifier,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin