simpleml.models.classifiers.sklearn.linear_model module¶
Wrapper module around sklearn.linear_model
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simpleml.models.classifiers.sklearn.linear_model.
LOGGER
= <Logger simpleml.models.classifiers.sklearn.linear_model (WARNING)>¶ Logistic Regression
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class
simpleml.models.classifiers.sklearn.linear_model.
SklearnLogisticRegression
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
SklearnLogisticRegressionCV
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
SklearnPerceptron
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
SklearnRidgeClassifier
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
SklearnRidgeClassifierCV
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
SklearnSGDClassifier
(has_external_files=True, external_model_kwargs=None, params=None, **kwargs)[source]¶ Bases:
simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier
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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.linear_model.
WrappedSklearnLogisticRegression
(penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='auto', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)[source]¶ Bases:
sklearn.linear_model._logistic.LogisticRegression
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.linear_model.
WrappedSklearnLogisticRegressionCV
(*, Cs=10, fit_intercept=True, cv=None, dual=False, penalty='l2', scoring=None, solver='lbfgs', tol=0.0001, max_iter=100, class_weight=None, n_jobs=None, verbose=0, refit=True, intercept_scaling=1.0, multi_class='auto', random_state=None, l1_ratios=None)[source]¶ Bases:
sklearn.linear_model._logistic.LogisticRegressionCV
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.linear_model.
WrappedSklearnPerceptron
(*, penalty=None, alpha=0.0001, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, eta0=1.0, n_jobs=None, random_state=0, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False)[source]¶ Bases:
sklearn.linear_model._perceptron.Perceptron
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.linear_model.
WrappedSklearnRidgeClassifier
(alpha=1.0, *, fit_intercept=True, normalize=False, copy_X=True, max_iter=None, tol=0.001, class_weight=None, solver='auto', random_state=None)[source]¶ Bases:
sklearn.linear_model._ridge.RidgeClassifier
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.linear_model.
WrappedSklearnRidgeClassifierCV
(alphas=(0.1, 1.0, 10.0), *, fit_intercept=True, normalize=False, scoring=None, cv=None, class_weight=None, store_cv_values=False)[source]¶ Bases:
sklearn.linear_model._ridge.RidgeClassifierCV
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin
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class
simpleml.models.classifiers.sklearn.linear_model.
WrappedSklearnSGDClassifier
(loss='hinge', *, penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, max_iter=1000, tol=0.001, shuffle=True, verbose=0, epsilon=0.1, n_jobs=None, random_state=None, learning_rate='optimal', eta0=0.0, power_t=0.5, early_stopping=False, validation_fraction=0.1, n_iter_no_change=5, class_weight=None, warm_start=False, average=False)[source]¶ Bases:
sklearn.linear_model._stochastic_gradient.SGDClassifier
,simpleml.models.classifiers.external_models.ClassificationExternalModelMixin