Index

_

__init__() (evalml.AutoClassificationSearch method) (evalml.AutoRegressionSearch method) (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.ConfusionMatrix 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.LogLoss method) (evalml.objectives.MAE method) (evalml.objectives.MCC method) (evalml.objectives.MSE method) (evalml.objectives.MSLE method) (evalml.objectives.MaxError method) (evalml.objectives.MedianAE method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.ROC method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

A

add() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method) AUC (class in evalml.objectives)

AUCMacro (class in evalml.objectives) AUCMicro (class in evalml.objectives) AUCWeighted (class in evalml.objectives) AutoClassificationSearch (class in evalml) AutoRegressionSearch (class in evalml)

C

CatBoostClassificationPipeline (class in evalml.pipelines) CatBoostRegressionPipeline (class in evalml.pipelines) component_graph (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute)

ConfusionMatrix (class in evalml.objectives) custom_hyperparameters (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute)

D

decision_function() (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) describe() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.XGBoostClassifier method)

detect_highly_null() (in module evalml.guardrails) detect_id_columns() (in module evalml.guardrails) detect_label_leakage() (in module evalml.guardrails) detect_outliers() (in module evalml.guardrails)

E

ExpVariance (class in evalml.objectives)

F

F1 (class in evalml.objectives) F1Macro (class in evalml.objectives) F1Micro (class in evalml.objectives) F1Weighted (class in evalml.objectives) feature_importance_graph() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method), [1] (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) fit() (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.ConfusionMatrix 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.LogLoss method) (evalml.objectives.MAE method) (evalml.objectives.MCC method) (evalml.objectives.MSE method) (evalml.objectives.MSLE method) (evalml.objectives.MaxError method) (evalml.objectives.MedianAE method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.ROC method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) (evalml.pipelines.components.LinearRegressor method) (evalml.pipelines.components.LogisticRegressionClassifier method) (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.RandomForestClassifier method) (evalml.pipelines.components.RandomForestRegressor method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method) (evalml.pipelines.components.XGBoostClassifier method)

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

G

generate_confusion_matrix() (evalml.AutoClassificationSearch.plot method) generate_roc_plot() (evalml.AutoClassificationSearch.plot method) get_component() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) get_confusion_matrix_data() (evalml.AutoClassificationSearch.plot method) 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_pipelines() (in module evalml.pipelines) get_roc_data() (evalml.AutoClassificationSearch.plot method) graph() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method), [1] (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) GridSearchTuner (class in evalml.tuners)

H

handle_problem_types() (in module evalml.problem_types) hyperparameter_ranges (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute)

hyperparameters (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute)

I

is_search_space_exhausted() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

L

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.pipelines.CatBoostClassificationPipeline static method) (evalml.pipelines.CatBoostRegressionPipeline static method) (evalml.pipelines.LinearRegressionPipeline static method) (evalml.pipelines.LogisticRegressionPipeline static method) (evalml.pipelines.PipelineBase static method) (evalml.pipelines.RFClassificationPipeline static method) (evalml.pipelines.RFRegressionPipeline static method) (evalml.pipelines.XGBoostPipeline 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) LogisticRegressionClassifier (class in evalml.pipelines.components) LogisticRegressionPipeline (class in evalml.pipelines) LogLoss (class in evalml.objectives)

M

MAE (class in evalml.objectives) MaxError (class in evalml.objectives) MCC (class in evalml.objectives) MedianAE (class in evalml.objectives) model_family (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute)

ModelFamily (class in evalml.model_family) MSE (class in evalml.objectives) MSLE (class in evalml.objectives)

N

name (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute) (evalml.pipelines.components.LinearRegressor attribute) (evalml.pipelines.components.LogisticRegressionClassifier attribute) (evalml.pipelines.components.OneHotEncoder attribute) (evalml.pipelines.components.RFClassifierSelectFromModel attribute) (evalml.pipelines.components.RFRegressorSelectFromModel attribute) (evalml.pipelines.components.RandomForestClassifier attribute) (evalml.pipelines.components.RandomForestRegressor attribute) (evalml.pipelines.components.SimpleImputer attribute) (evalml.pipelines.components.StandardScaler attribute) (evalml.pipelines.components.XGBoostClassifier attribute)

O

objective_function() (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method)

OneHotEncoder (class in evalml.pipelines.components)

P

PipelineBase (class in evalml.pipelines) Precision (class in evalml.objectives) PrecisionMacro (class in evalml.objectives) PrecisionMicro (class in evalml.objectives) PrecisionWeighted (class in evalml.objectives) predict() (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.ConfusionMatrix 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.LogLoss method) (evalml.objectives.MAE method) (evalml.objectives.MCC method) (evalml.objectives.MSE method) (evalml.objectives.MSLE method) (evalml.objectives.MaxError method) (evalml.objectives.MedianAE method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.ROC method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline 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)

predict_proba() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline 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) 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) RFClassificationPipeline (class in evalml.pipelines) RFClassifierSelectFromModel (class in evalml.pipelines.components) RFRegressionPipeline (class in evalml.pipelines) RFRegressorSelectFromModel (class in evalml.pipelines.components) ROC (class in evalml.objectives)

S

save() (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) score() (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.ConfusionMatrix 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.LogLoss method) (evalml.objectives.MAE method) (evalml.objectives.MCC method) (evalml.objectives.MSE method) (evalml.objectives.MSLE method) (evalml.objectives.MaxError method) (evalml.objectives.MedianAE method) (evalml.objectives.Precision method) (evalml.objectives.PrecisionMacro method) (evalml.objectives.PrecisionMicro method) (evalml.objectives.PrecisionWeighted method) (evalml.objectives.R2 method) (evalml.objectives.ROC method) (evalml.objectives.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method) (evalml.pipelines.CatBoostClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) 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.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline attribute) supported_problem_types (evalml.pipelines.CatBoostClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionPipeline attribute) (evalml.pipelines.RFClassificationPipeline attribute) (evalml.pipelines.RFRegressionPipeline attribute) (evalml.pipelines.XGBoostPipeline 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) supports_problem_type() (evalml.objectives.AUC class method) (evalml.objectives.AUCMacro class method) (evalml.objectives.AUCMicro class method) (evalml.objectives.AUCWeighted class method) (evalml.objectives.ConfusionMatrix class method) (evalml.objectives.ExpVariance class method) (evalml.objectives.F1 class method) (evalml.objectives.F1Macro class method) (evalml.objectives.F1Micro class method) (evalml.objectives.F1Weighted class method) (evalml.objectives.FraudCost class method) (evalml.objectives.LeadScoring class method) (evalml.objectives.LogLoss class method) (evalml.objectives.MAE class method) (evalml.objectives.MCC class method) (evalml.objectives.MSE class method) (evalml.objectives.MSLE class method) (evalml.objectives.MaxError class method) (evalml.objectives.MedianAE class method) (evalml.objectives.Precision class method) (evalml.objectives.PrecisionMacro class method) (evalml.objectives.PrecisionMicro class method) (evalml.objectives.PrecisionWeighted class method) (evalml.objectives.R2 class method) (evalml.objectives.ROC class method) (evalml.objectives.Recall class method) (evalml.objectives.RecallMacro class method) (evalml.objectives.RecallMicro class method) (evalml.objectives.RecallWeighted class method)

T

transform() (evalml.pipelines.components.OneHotEncoder method) (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) (evalml.pipelines.components.SimpleImputer method) (evalml.pipelines.components.StandardScaler method)

Tuner (class in evalml.tuners)

X

XGBoostClassifier (class in evalml.pipelines.components)

XGBoostPipeline (class in evalml.pipelines)