watex.exlib package#
The ‘Exlib’ sub-package aggregates prominent Machine Learning libraries for use in prediction tasks with common datasets within the watex.models framework, notably including scikit-learn.
Submodules#
XGBClassifierxgboostdoc- Scikit-learn external
AdaBoostClassifierAdaBoostClassifier.estimator_AdaBoostClassifier.estimators_AdaBoostClassifier.classes_AdaBoostClassifier.n_classes_AdaBoostClassifier.estimator_weights_AdaBoostClassifier.estimator_errors_AdaBoostClassifier.feature_importances_AdaBoostClassifier.n_features_in_AdaBoostClassifier.feature_names_in_AdaBoostClassifier.decision_function()AdaBoostClassifier.predict()AdaBoostClassifier.predict_log_proba()AdaBoostClassifier.predict_proba()AdaBoostClassifier.set_fit_request()AdaBoostClassifier.set_score_request()AdaBoostClassifier.staged_decision_function()AdaBoostClassifier.staged_predict()AdaBoostClassifier.staged_predict_proba()
BaggingClassifierBaggingClassifier.estimator_BaggingClassifier.n_features_in_BaggingClassifier.feature_names_in_BaggingClassifier.estimators_BaggingClassifier.estimators_samples_BaggingClassifier.estimators_features_BaggingClassifier.classes_BaggingClassifier.n_classes_BaggingClassifier.oob_score_BaggingClassifier.oob_decision_function_BaggingClassifier.decision_function()BaggingClassifier.predict()BaggingClassifier.predict_log_proba()BaggingClassifier.predict_proba()BaggingClassifier.set_fit_request()BaggingClassifier.set_score_request()
BaseEstimatorClassifierMixinColumnTransformerColumnTransformer.transformers_ColumnTransformer.named_transformers_ColumnTransformer.sparse_output_ColumnTransformer.output_indices_ColumnTransformer.n_features_in_ColumnTransformer.feature_names_in_ColumnTransformer.fit()ColumnTransformer.fit_transform()ColumnTransformer.get_feature_names_out()ColumnTransformer.get_metadata_routing()ColumnTransformer.get_params()ColumnTransformer.named_transformers_ColumnTransformer.set_output()ColumnTransformer.set_params()ColumnTransformer.transform()
DecisionTreeClassifierDecisionTreeClassifier.classes_DecisionTreeClassifier.feature_importances_DecisionTreeClassifier.max_features_DecisionTreeClassifier.n_classes_DecisionTreeClassifier.n_features_in_DecisionTreeClassifier.feature_names_in_DecisionTreeClassifier.n_outputs_DecisionTreeClassifier.tree_DecisionTreeClassifier.fit()DecisionTreeClassifier.predict_log_proba()DecisionTreeClassifier.predict_proba()DecisionTreeClassifier.set_fit_request()DecisionTreeClassifier.set_predict_proba_request()DecisionTreeClassifier.set_predict_request()DecisionTreeClassifier.set_score_request()
DummyClassifierDummyClassifier.classes_DummyClassifier.n_classes_DummyClassifier.class_prior_DummyClassifier.n_outputs_DummyClassifier.sparse_output_DummyClassifier.fit()DummyClassifier.predict()DummyClassifier.predict_log_proba()DummyClassifier.predict_proba()DummyClassifier.score()DummyClassifier.set_fit_request()DummyClassifier.set_score_request()
ExtraTreesClassifierExtraTreesClassifier.estimator_ExtraTreesClassifier.estimators_ExtraTreesClassifier.classes_ExtraTreesClassifier.n_classes_ExtraTreesClassifier.feature_importances_ExtraTreesClassifier.n_features_in_ExtraTreesClassifier.feature_names_in_ExtraTreesClassifier.n_outputs_ExtraTreesClassifier.oob_score_ExtraTreesClassifier.oob_decision_function_ExtraTreesClassifier.estimators_samples_ExtraTreesClassifier.set_fit_request()ExtraTreesClassifier.set_score_request()
FactorAnalysisFactorAnalysis.components_FactorAnalysis.loglike_FactorAnalysis.noise_variance_FactorAnalysis.n_iter_FactorAnalysis.mean_FactorAnalysis.n_features_in_FactorAnalysis.feature_names_in_FactorAnalysis.fit()FactorAnalysis.get_covariance()FactorAnalysis.get_precision()FactorAnalysis.score()FactorAnalysis.score_samples()FactorAnalysis.transform()
FeatureUnionFeatureUnion.named_transformersFeatureUnion.n_features_in_FeatureUnion.feature_names_in_FeatureUnion.feature_names_in_FeatureUnion.fit()FeatureUnion.fit_transform()FeatureUnion.get_feature_names_out()FeatureUnion.get_params()FeatureUnion.n_features_in_FeatureUnion.named_transformersFeatureUnion.set_output()FeatureUnion.set_params()FeatureUnion.transform()
GridSearchCVGridSearchCV.cv_results_GridSearchCV.best_estimator_GridSearchCV.best_score_GridSearchCV.best_params_GridSearchCV.best_index_GridSearchCV.scorer_GridSearchCV.n_splits_GridSearchCV.refit_time_GridSearchCV.multimetric_GridSearchCV.classes_GridSearchCV.n_features_in_GridSearchCV.feature_names_in_
IncrementalPCAIncrementalPCA.components_IncrementalPCA.explained_variance_IncrementalPCA.explained_variance_ratio_IncrementalPCA.singular_values_IncrementalPCA.mean_IncrementalPCA.var_IncrementalPCA.noise_variance_IncrementalPCA.n_components_IncrementalPCA.n_samples_seen_IncrementalPCA.batch_size_IncrementalPCA.n_features_in_IncrementalPCA.feature_names_in_IncrementalPCA.fit()IncrementalPCA.partial_fit()IncrementalPCA.set_partial_fit_request()IncrementalPCA.transform()
KMeansKNeighborsClassifierKNeighborsClassifier.classes_KNeighborsClassifier.effective_metric_KNeighborsClassifier.effective_metric_params_KNeighborsClassifier.n_features_in_KNeighborsClassifier.feature_names_in_KNeighborsClassifier.n_samples_fit_KNeighborsClassifier.outputs_2d_KNeighborsClassifier.fit()KNeighborsClassifier.predict()KNeighborsClassifier.predict_proba()KNeighborsClassifier.set_score_request()
KernelPCALabelBinarizerLabelEncoderLedoitWolfLinearSVCLinearSVRLogisticRegressionLogisticRegression.classes_LogisticRegression.coef_LogisticRegression.intercept_LogisticRegression.n_features_in_LogisticRegression.feature_names_in_LogisticRegression.n_iter_LogisticRegression.fit()LogisticRegression.predict_log_proba()LogisticRegression.predict_proba()LogisticRegression.set_fit_request()LogisticRegression.set_score_request()
MinMaxScalerMinMaxScaler.min_MinMaxScaler.scale_MinMaxScaler.data_min_MinMaxScaler.data_max_MinMaxScaler.data_range_MinMaxScaler.n_features_in_MinMaxScaler.n_samples_seen_MinMaxScaler.feature_names_in_MinMaxScaler.fit()MinMaxScaler.inverse_transform()MinMaxScaler.partial_fit()MinMaxScaler.transform()
NormalizerOneHotEncoderOneHotEncoder.categories_OneHotEncoder.drop_idx_OneHotEncoder.infrequent_categories_OneHotEncoder.n_features_in_OneHotEncoder.feature_names_in_OneHotEncoder.feature_name_combinerOneHotEncoder.fit()OneHotEncoder.get_feature_names_out()OneHotEncoder.inverse_transform()OneHotEncoder.transform()
OrdinalEncoderPCAPipelinePipeline.named_stepsPipeline.classes_Pipeline.n_features_in_Pipeline.feature_names_in_Pipeline.classes_Pipeline.decision_function()Pipeline.feature_names_in_Pipeline.fit()Pipeline.fit_predict()Pipeline.fit_transform()Pipeline.get_feature_names_out()Pipeline.get_metadata_routing()Pipeline.get_params()Pipeline.inverse_transform()Pipeline.n_features_in_Pipeline.named_stepsPipeline.predict()Pipeline.predict_log_proba()Pipeline.predict_proba()Pipeline.score()Pipeline.score_samples()Pipeline.set_output()Pipeline.set_params()Pipeline.set_score_request()Pipeline.transform()
PolynomialFeaturesRandomForestClassifierRandomForestClassifier.estimator_RandomForestClassifier.estimators_RandomForestClassifier.classes_RandomForestClassifier.n_classes_RandomForestClassifier.n_features_in_RandomForestClassifier.feature_names_in_RandomForestClassifier.n_outputs_RandomForestClassifier.feature_importances_RandomForestClassifier.oob_score_RandomForestClassifier.oob_decision_function_RandomForestClassifier.estimators_samples_RandomForestClassifier.set_fit_request()RandomForestClassifier.set_score_request()
RandomizedSearchCVRandomizedSearchCV.cv_results_RandomizedSearchCV.best_estimator_RandomizedSearchCV.best_score_RandomizedSearchCV.best_params_RandomizedSearchCV.best_index_RandomizedSearchCV.scorer_RandomizedSearchCV.n_splits_RandomizedSearchCV.refit_time_RandomizedSearchCV.multimetric_RandomizedSearchCV.classes_RandomizedSearchCV.n_features_in_RandomizedSearchCV.feature_names_in_
RobustScalerSGDClassifierSGDClassifier.coef_SGDClassifier.intercept_SGDClassifier.n_iter_SGDClassifier.loss_function_SGDClassifier.classes_SGDClassifier.t_SGDClassifier.n_features_in_SGDClassifier.feature_names_in_SGDClassifier.predict_log_proba()SGDClassifier.predict_proba()SGDClassifier.set_fit_request()SGDClassifier.set_partial_fit_request()SGDClassifier.set_score_request()
SVCSelectFromModelSelectKBestShrunkCovarianceSimpleImputerStackingClassifierStackingClassifier.classes_StackingClassifier.estimators_StackingClassifier.named_estimators_StackingClassifier.n_features_in_StackingClassifier.feature_names_in_StackingClassifier.final_estimator_StackingClassifier.stack_method_StackingClassifier.decision_function()StackingClassifier.fit()StackingClassifier.predict()StackingClassifier.predict_proba()StackingClassifier.set_fit_request()StackingClassifier.set_score_request()StackingClassifier.transform()
StandardScalerStandardScaler.scale_StandardScaler.mean_StandardScaler.var_StandardScaler.n_features_in_StandardScaler.feature_names_in_StandardScaler.n_samples_seen_StandardScaler.fit()StandardScaler.inverse_transform()StandardScaler.partial_fit()StandardScaler.set_fit_request()StandardScaler.set_inverse_transform_request()StandardScaler.set_partial_fit_request()StandardScaler.set_transform_request()StandardScaler.transform()
StratifiedShuffleSplitTransformerMixinVotingClassifierVotingClassifier.estimators_VotingClassifier.named_estimators_VotingClassifier.le_VotingClassifier.classes_VotingClassifier.n_features_in_VotingClassifier.feature_names_in_VotingClassifier.fit()VotingClassifier.get_feature_names_out()VotingClassifier.predict()VotingClassifier.predict_proba()VotingClassifier.set_fit_request()VotingClassifier.set_score_request()VotingClassifier.transform()
accuracy_score()classification_report()clone()confusion_matrix()cross_val_predict()cross_val_score()f1_score()f_classif()learning_curve()make_column_selectormake_column_transformer()make_pipeline()make_scorer()matthews_corrcoef()mean_squared_error()permutation_importance()precision_recall_curve()precision_score()recall_score()roc_auc_score()roc_curve()silhouette_samples()sklearndoctrain_test_split()validation_curve()