Index

_

__eq__() (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method) __init__() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.AutoMLSearch method) (evalml.automl.automl_algorithm.IterativeAlgorithm method) (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method) (evalml.data_checks.DataChecks method) (evalml.data_checks.DefaultDataChecks method) (evalml.data_checks.HighlyNullDataCheck method) (evalml.data_checks.IDColumnsDataCheck method) (evalml.data_checks.LabelLeakageDataCheck method) (evalml.data_checks.OutliersDataCheck method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

__str__() (evalml.data_checks.DataCheckError method) (evalml.data_checks.DataCheckMessage method) (evalml.data_checks.DataCheckWarning method)

A

AccuracyBinary (class in evalml.objectives) AccuracyMulticlass (class in evalml.objectives) add() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method) add_result() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.automl_algorithm.IterativeAlgorithm method)

add_to_rankings() (evalml.automl.AutoMLSearch method) all_pipelines() (in module evalml.pipelines) AUC (class in evalml.objectives) AUCMacro (class in evalml.objectives) AUCMicro (class in evalml.objectives) AUCWeighted (class in evalml.objectives) AutoMLAlgorithm (class in evalml.automl.automl_algorithm) AutoMLSearch (class in evalml.automl)

B

BalancedAccuracyBinary (class in evalml.objectives) BalancedAccuracyMulticlass (class in evalml.objectives) BaselineBinaryPipeline (class in evalml.pipelines) BaselineClassifier (class in evalml.pipelines.components)

BaselineMulticlassPipeline (class in evalml.pipelines) BaselineRegressionPipeline (class in evalml.pipelines) BaselineRegressor (class in evalml.pipelines.components) BinaryClassificationObjective (class in evalml.objectives) BinaryClassificationPipeline (class in evalml.pipelines)

C

calculate_permutation_importance() (in module evalml.pipelines) CatBoostBinaryClassificationPipeline (class in evalml.pipelines) CatBoostClassifier (class in evalml.pipelines.components) CatBoostMulticlassClassificationPipeline (class in evalml.pipelines) CatBoostRegressionPipeline (class in evalml.pipelines) CatBoostRegressor (class in evalml.pipelines.components) ClassificationPipeline (class in evalml.pipelines) clone() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) component_graph (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute)

ComponentBase (class in evalml.pipelines.components) confusion_matrix() (in module evalml.pipelines) convert_to_seconds() (in module evalml.utils) custom_hyperparameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) custom_name (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute)

D

DataCheck (class in evalml.data_checks) DataCheckError (class in evalml.data_checks) DataCheckMessage (class in evalml.data_checks) DataCheckMessageType (class in evalml.data_checks) DataChecks (class in evalml.data_checks) DataCheckWarning (class in evalml.data_checks) decision_function() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.F1 method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.MCCBinary method) (evalml.objectives.Precision method) (evalml.objectives.Recall method) default_parameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

DefaultDataChecks (class in evalml.data_checks) describe() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) describe_pipeline() (evalml.automl.AutoMLSearch method) drop_nan_target_rows() (in module evalml.preprocessing) DropColumns (class in evalml.pipelines.components)

E

ElasticNetClassifier (class in evalml.pipelines.components) ElasticNetRegressor (class in evalml.pipelines.components) ENBinaryPipeline (class in evalml.pipelines) ENMulticlassPipeline (class in evalml.pipelines) ENRegressionPipeline (class in evalml.pipelines) Estimator (class in evalml.pipelines.components)

ETBinaryClassificationPipeline (class in evalml.pipelines) ETMulticlassClassificationPipeline (class in evalml.pipelines) ETRegressionPipeline (class in evalml.pipelines) ExpVariance (class in evalml.objectives) ExtraTreesClassifier (class in evalml.pipelines.components) ExtraTreesRegressor (class in evalml.pipelines.components)

F

F1 (class in evalml.objectives) F1Macro (class in evalml.objectives) F1Micro (class in evalml.objectives) F1Weighted (class in evalml.objectives) fit() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ComponentBase method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method)

fit_transform() (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method) FraudCost (class in evalml.objectives)

G

get_component() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) get_estimators() (in module evalml.pipelines) get_feature_names() (evalml.pipelines.components.OneHotEncoder method) get_indices() (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) get_names() (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) get_pipeline() (evalml.automl.AutoMLSearch method) get_pipelines() (in module evalml.pipelines) get_random_seed() (in module evalml.utils) get_random_state() (in module evalml.utils) graph() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method)

graph_confusion_matrix() (in module evalml.pipelines) graph_feature_importance() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) graph_permutation_importance() (in module evalml.pipelines) graph_precision_recall_curve() (in module evalml.pipelines) graph_roc_curve() (in module evalml.pipelines) GridSearchTuner (class in evalml.tuners)

H

handle_problem_types() (in module evalml.problem_types) HighlyNullDataCheck (class in evalml.data_checks) hyperparameter_ranges (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

hyperparameters (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute)

I

IDColumnsDataCheck (class in evalml.data_checks) import_or_raise() (in module evalml.utils) InvalidTargetDataCheck (class in evalml.data_checks) is_search_space_exhausted() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

IterativeAlgorithm (class in evalml.automl.automl_algorithm)

L

label_distribution() (in module evalml.preprocessing) LabelLeakageDataCheck (class in evalml.data_checks) LeadScoring (class in evalml.objectives) LinearRegressionPipeline (class in evalml.pipelines) LinearRegressor (class in evalml.pipelines.components) list_model_families() (in module evalml.pipelines) load() (evalml.automl.AutoMLSearch static method) (evalml.pipelines.BaselineBinaryPipeline static method) (evalml.pipelines.BaselineMulticlassPipeline static method) (evalml.pipelines.BaselineRegressionPipeline static method) (evalml.pipelines.BinaryClassificationPipeline static method) (evalml.pipelines.CatBoostBinaryClassificationPipeline static method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline static method) (evalml.pipelines.CatBoostRegressionPipeline static method) (evalml.pipelines.ClassificationPipeline static method) (evalml.pipelines.ENBinaryPipeline static method) (evalml.pipelines.ENMulticlassPipeline static method) (evalml.pipelines.ENRegressionPipeline static method) (evalml.pipelines.ETBinaryClassificationPipeline static method) (evalml.pipelines.ETMulticlassClassificationPipeline static method) (evalml.pipelines.ETRegressionPipeline static method) (evalml.pipelines.LinearRegressionPipeline static method) (evalml.pipelines.LogisticRegressionBinaryPipeline static method) (evalml.pipelines.LogisticRegressionMulticlassPipeline static method) (evalml.pipelines.MeanBaselineRegressionPipeline static method) (evalml.pipelines.ModeBaselineBinaryPipeline static method) (evalml.pipelines.ModeBaselineMulticlassPipeline static method) (evalml.pipelines.MulticlassClassificationPipeline static method) (evalml.pipelines.PipelineBase static method) (evalml.pipelines.RFBinaryClassificationPipeline static method) (evalml.pipelines.RFMulticlassClassificationPipeline static method) (evalml.pipelines.RFRegressionPipeline static method) (evalml.pipelines.RegressionPipeline static method) (evalml.pipelines.XGBoostBinaryPipeline static method) (evalml.pipelines.XGBoostMulticlassPipeline static method) (evalml.pipelines.XGBoostRegressionPipeline static method)

load_breast_cancer() (in module evalml.demos) load_data() (in module evalml.preprocessing) load_diabetes() (in module evalml.demos) load_fraud() (in module evalml.demos) load_wine() (in module evalml.demos) LogisticRegressionBinaryPipeline (class in evalml.pipelines) LogisticRegressionClassifier (class in evalml.pipelines.components) LogisticRegressionMulticlassPipeline (class in evalml.pipelines) LogLossBinary (class in evalml.objectives) LogLossMulticlass (class in evalml.objectives)

M

MAE (class in evalml.objectives) make_pipeline() (in module evalml.pipelines) MaxError (class in evalml.objectives) MCCBinary (class in evalml.objectives) MCCMulticlass (class in evalml.objectives) MeanBaselineRegressionPipeline (class in evalml.pipelines) MeanSquaredLogError (class in evalml.objectives) MedianAE (class in evalml.objectives) message_type (evalml.data_checks.DataCheckError attribute) (evalml.data_checks.DataCheckMessage attribute) (evalml.data_checks.DataCheckWarning attribute) ModeBaselineBinaryPipeline (class in evalml.pipelines) ModeBaselineMulticlassPipeline (class in evalml.pipelines) model_family (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

ModelFamily (class in evalml.model_family) MSE (class in evalml.objectives) MulticlassClassificationObjective (class in evalml.objectives) MulticlassClassificationPipeline (class in evalml.pipelines)

N

name (evalml.data_checks.DataCheck attribute) (evalml.data_checks.HighlyNullDataCheck attribute) (evalml.data_checks.IDColumnsDataCheck attribute) (evalml.data_checks.InvalidTargetDataCheck attribute) (evalml.data_checks.LabelLeakageDataCheck attribute) (evalml.data_checks.OutliersDataCheck attribute) (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.PerColumnImputer attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SelectColumns attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

next_batch() (evalml.automl.automl_algorithm.AutoMLAlgorithm method) (evalml.automl.automl_algorithm.IterativeAlgorithm method) normalize_confusion_matrix() (in module evalml.pipelines) number_of_features() (in module evalml.preprocessing)

O

objective_function() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective class method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MSE method) (evalml.objectives.MaxError method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MulticlassClassificationObjective class method) (evalml.objectives.ObjectiveBase class method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective class method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method)

ObjectiveBase (class in evalml.objectives) OneHotEncoder (class in evalml.pipelines.components) optimize_threshold() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.F1 method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.MCCBinary method) (evalml.objectives.Precision method) (evalml.objectives.Recall method) OutliersDataCheck (class in evalml.data_checks)

P

PerColumnImputer (class in evalml.pipelines.components) PipelineBase (class in evalml.pipelines) Precision (class in evalml.objectives) precision_recall_curve() (in module evalml.pipelines) PrecisionMacro (class in evalml.objectives) PrecisionMicro (class in evalml.objectives) PrecisionWeighted (class in evalml.objectives) predict() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method) predict_proba() (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.components.BaselineClassifier method) (evalml.pipelines.components.BaselineRegressor method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor method) (evalml.pipelines.components.ElasticNetClassifier method) (evalml.pipelines.components.ElasticNetRegressor method) (evalml.pipelines.components.Estimator method) (evalml.pipelines.components.ExtraTreesClassifier method) (evalml.pipelines.components.ExtraTreesRegressor method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method)

problem_type (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) ProblemTypes (class in evalml.problem_types) propose() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

R

R2 (class in evalml.objectives) RandomForestClassifier (class in evalml.pipelines.components) RandomForestRegressor (class in evalml.pipelines.components) RandomSearchTuner (class in evalml.tuners) Recall (class in evalml.objectives) RecallMacro (class in evalml.objectives) RecallMicro (class in evalml.objectives) RecallWeighted (class in evalml.objectives) RegressionObjective (class in evalml.objectives)

RegressionPipeline (class in evalml.pipelines) RFBinaryClassificationPipeline (class in evalml.pipelines) RFClassifierSelectFromModel (class in evalml.pipelines.components) RFMulticlassClassificationPipeline (class in evalml.pipelines) RFRegressionPipeline (class in evalml.pipelines) RFRegressorSelectFromModel (class in evalml.pipelines.components) roc_curve() (in module evalml.pipelines) RootMeanSquaredError (class in evalml.objectives) RootMeanSquaredLogError (class in evalml.objectives)

S

save() (evalml.automl.AutoMLSearch method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method) score() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MSE method) (evalml.objectives.MaxError method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MulticlassClassificationObjective method) (evalml.objectives.ObjectiveBase method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method) (evalml.pipelines.BaselineBinaryPipeline method) (evalml.pipelines.BaselineMulticlassPipeline method) (evalml.pipelines.BaselineRegressionPipeline method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.ENBinaryPipeline method) (evalml.pipelines.ENMulticlassPipeline method) (evalml.pipelines.ENRegressionPipeline method) (evalml.pipelines.ETBinaryClassificationPipeline method) (evalml.pipelines.ETMulticlassClassificationPipeline method) (evalml.pipelines.ETRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.RegressionPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.XGBoostRegressionPipeline method)

search() (evalml.automl.AutoMLSearch method) SelectColumns (class in evalml.pipelines.components) SimpleImputer (class in evalml.pipelines.components) SKOptTuner (class in evalml.tuners) split_data() (in module evalml.preprocessing) StandardScaler (class in evalml.pipelines.components) summary (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.ENBinaryPipeline attribute) (evalml.pipelines.ENMulticlassPipeline attribute) (evalml.pipelines.ENRegressionPipeline attribute) (evalml.pipelines.ETBinaryClassificationPipeline attribute) (evalml.pipelines.ETMulticlassClassificationPipeline attribute) (evalml.pipelines.ETRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.RFBinaryClassificationPipeline attribute) (evalml.pipelines.RFMulticlassClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostBinaryPipeline attribute) (evalml.pipelines.XGBoostMulticlassPipeline attribute) (evalml.pipelines.XGBoostRegressionPipeline attribute) supported_problem_types (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.XGBoostClassifier attribute) (evalml.pipelines.components.XGBoostRegressor attribute)

T

transform() (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.PerColumnImputer method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SelectColumns method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.Transformer method)

Transformer (class in evalml.pipelines.components) Tuner (class in evalml.tuners)

V

validate() (evalml.data_checks.DataCheck method) (evalml.data_checks.DataChecks method) (evalml.data_checks.DefaultDataChecks method) (evalml.data_checks.HighlyNullDataCheck method) (evalml.data_checks.IDColumnsDataCheck method) (evalml.data_checks.InvalidTargetDataCheck method) (evalml.data_checks.LabelLeakageDataCheck method) (evalml.data_checks.OutliersDataCheck method) validate_inputs() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.AccuracyMulticlass method) (evalml.objectives.BalancedAccuracyBinary method) (evalml.objectives.BalancedAccuracyMulticlass method) (evalml.objectives.BinaryClassificationObjective method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.objectives.LogLossBinary method) (evalml.objectives.LogLossMulticlass method) (evalml.objectives.MAE method) (evalml.objectives.MCCBinary method) (evalml.objectives.MCCMulticlass method) (evalml.objectives.MSE method) (evalml.objectives.MaxError method) (evalml.objectives.MeanSquaredLogError method) (evalml.objectives.MedianAE method) (evalml.objectives.MulticlassClassificationObjective method) (evalml.objectives.ObjectiveBase method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.objectives.RegressionObjective method) (evalml.objectives.RootMeanSquaredError method) (evalml.objectives.RootMeanSquaredLogError method)

X

XGBoostBinaryPipeline (class in evalml.pipelines) XGBoostClassifier (class in evalml.pipelines.components)

XGBoostMulticlassPipeline (class in evalml.pipelines) XGBoostRegressionPipeline (class in evalml.pipelines) XGBoostRegressor (class in evalml.pipelines.components)